{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\kalle\Downloads\Untitled.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}11 May 2022, 10:01:38

{com}. do "C:\Users\kalle\AppData\Local\Temp\STD3108_000000.tmp"
{txt}
{com}. **Replication file for "Sympathizing with the Radical Right" by Ekholm, Bäck and Renström (2021)
. **STATA 15.1**
. **Working Directory must be set to the directory where the dataset is located (cd)***
. 
. **plug-ins needed**
. **ssc install estout, replace
. **ssc install univar, replace
. 
. **Manipulation Control**
. tab m_ctrl s3gr, col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

Manipulati {c |}         Treatment Group
on Control {c |} Control G  Treatment  Treatment {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
         1 {c |}{res}        44         30         41 {txt}{c |}{res}       115 
           {txt}{c |}{res}     12.46       7.65      11.39 {txt}{c |}{res}     10.41 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
         2 {c |}{res}        47         31         43 {txt}{c |}{res}       121 
           {txt}{c |}{res}     13.31       7.91      11.94 {txt}{c |}{res}     10.95 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
         3 {c |}{res}        30         45         36 {txt}{c |}{res}       111 
           {txt}{c |}{res}      8.50      11.48      10.00 {txt}{c |}{res}     10.05 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
         4 {c |}{res}        57         57         70 {txt}{c |}{res}       184 
           {txt}{c |}{res}     16.15      14.54      19.44 {txt}{c |}{res}     16.65 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
         5 {c |}{res}        79        108         85 {txt}{c |}{res}       272 
           {txt}{c |}{res}     22.38      27.55      23.61 {txt}{c |}{res}     24.62 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
         6 {c |}{res}        47         62         40 {txt}{c |}{res}       149 
           {txt}{c |}{res}     13.31      15.82      11.11 {txt}{c |}{res}     13.48 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
         7 {c |}{res}        49         59         45 {txt}{c |}{res}       153 
           {txt}{c |}{res}     13.88      15.05      12.50 {txt}{c |}{res}     13.85 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}       353        392        360 {txt}{c |}{res}     1,105 
           {txt}{c |}{res}    100.00     100.00     100.00 {txt}{c |}{res}    100.00 

{txt}         Pearson chi2({res}12{txt}) = {res} 20.7106  {txt} Pr = {res}0.055
{txt}
{com}. anova m_ctrl s3gr

                         {txt}Number of obs = {res}     1,105    {txt}R-squared     ={res}  0.0094
                         {txt}Root MSE      =   {res} 1.84232    {txt}Adj R-squared ={res}  0.0076

                  {txt}Source {c |} Partial SS         df         MS        F    Prob>F
              {hline 11}{c +}{hline 52}
                   Model {c |} {res} 35.509012          2   17.754506      5.23  0.0055
                         {txt}{c |}
                    s3gr {c |} {res} 35.509012          2   17.754506      5.23  0.0055
                         {txt}{c |}
                Residual {c |} {res} 3740.3408      1,102   3.3941386  
              {txt}{hline 11}{c +}{hline 52}
                   Total {c |} {res} 3775.8498      1,104   3.4201538  
{txt}
{com}. 
. **Histogram DV (Cont) **
. 
. gen temp_cont_dv = likesd_cont-4
{txt}(30 missing values generated)

{com}. 
. twoway (hist temp_cont_dv ,  discrete  leg(off) xscale(r(-3.5 3.5)) percent ///
>         fcolor(gray%10) lcolor(black%40)  graphregion(c(white)) xlabel(-3(1)3) ///
>         ylabel(0(15)60, nogrid) ytitle("{c -(}it:Percentage of Observations{c )-}") xtitle("") ///
>         name(hist_dv, replace) plotregion(margin(tiny)) )
{res}{txt}
{com}. graph save hist_dv "fig1.gph", replace
{res}{txt}file {bf:fig1.gph} saved

{com}. graph export fig1.tif, replace
{txt}{p 0 4 2}
file {bf}
fig1.tif{rm}
saved as
TIFF
format
{p_end}

{com}. 
. drop temp_cont_dv       
{txt}
{com}.  
. **propotion tests**
. 
. prtest likesd, by(high) 

{txt}Two-sample test of proportions                     {res}0{txt}: Number of obs = {res}     729
                                                   1{txt}: Number of obs = {res}     404
{txt}{hline 13}{c TT}{hline 64}
       Group{col 14}{c |}{col 22}Mean{col 29}Std. err.{col 44}z{col 49}P>|z|{col 59}[95% conf. interval]
{hline 13}{c +}{hline 64}
           0 {c |}{res}{col 17} .1179698{col 28} .0119471{col 58} .0945539{col 70} .1413858
           {txt}1 {c |}{res}{col 17} .1633663{col 28} .0183932{col 58} .1273162{col 70} .1994164
{txt}{hline 13}{c +}{hline 64}
        diff {c |}{res}{col 17}-.0453965{col 28} .0219327{col 58}-.0883839{col 70}-.0024091
{txt}{col 14}{c |}{col 17}under H0:{res}{col 28} .0211391{col 38}   -2.15{col 49}0.032
{txt}{hline 13}{c BT}{hline 64}
        diff = prop({res}0{txt}) - prop({res}1{txt})                                  z = {res} -2.1475
{txt}    H0: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = {res}0.0159         {txt}Pr(|Z| > |z|) = {res}0.0318          {txt}Pr(Z > z) = {res}0.9841
{txt}
{com}. prtest likesd, by(above_median_mcp)

{txt}Two-sample test of proportions                     {res}0{txt}: Number of obs = {res}     638
                                                   1{txt}: Number of obs = {res}     495
{txt}{hline 13}{c TT}{hline 64}
       Group{col 14}{c |}{col 22}Mean{col 29}Std. err.{col 44}z{col 49}P>|z|{col 59}[95% conf. interval]
{hline 13}{c +}{hline 64}
           0 {c |}{res}{col 17} .2163009{col 28} .0163002{col 58} .1843531{col 70} .2482488
           {txt}1 {c |}{res}{col 17} .0282828{col 28} .0074512{col 58} .0136787{col 70}  .042887
{txt}{hline 13}{c +}{hline 64}
        diff {c |}{res}{col 17} .1880181{col 28} .0179226{col 58} .1528905{col 70} .2231457
{txt}{col 14}{c |}{col 17}under H0:{res}{col 28}  .020414{col 38}    9.21{col 49}0.000
{txt}{hline 13}{c BT}{hline 64}
        diff = prop({res}0{txt}) - prop({res}1{txt})                                  z = {res}  9.2102
{txt}    H0: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = {res}1.0000         {txt}Pr(|Z| > |z|) = {res}0.0000          {txt}Pr(Z > z) = {res}0.0000
{txt}
{com}. 
. ** CIPLOTS **
. 
. **MANIPULATION CONTROL**
. 
. gen treatment = .
{txt}(1,133 missing values generated)

{com}. replace treatment = 0 if s3gr == 0
{txt}(363 real changes made)

{com}. replace treatment = 1 if s3gr == 2
{txt}(366 real changes made)

{com}. replace treatment = 2 if s3gr == 1
{txt}(404 real changes made)

{com}. 
. label define treatment2 0 "Control Group" 1 "Treatment Group - Low" 2"Treatment Group - High" 
{txt}
{com}. label values treatment  treatment2
{txt}
{com}. 
. 
. ciplot m_ctrl, by(treatment) msymbol(circle) msize(small) mcolor(black) /// 
>         scheme(s2mono) graphregion(c(white)) rcapopts(lpattern(dash)) note("") ///
>         ytitle("{c -(}it:Mean - Manipulation Control{c )-}") xtitle("") ///
>         name(ciplot_mctrl, replace) 
{res}{txt}
{com}.         
. graph save ciplot_mctrl "ciplot_mctrl.gph", replace
{res}{txt}file {bf:ciplot_mctrl.gph} saved

{com}. graph export mctrl_old.tif, replace     
{txt}{p 0 4 2}
file {bf}
mctrl_old.tif{rm}
saved as
TIFF
format
{p_end}

{com}. 
. gen treatment2 = .
{txt}(1,133 missing values generated)

{com}. replace treatment2 = 0 if s3gr == 1
{txt}(404 real changes made)

{com}. replace treatment2 = 1 if s3gr == 2
{txt}(366 real changes made)

{com}. replace treatment2 = 2 if s3gr == 0
{txt}(363 real changes made)

{com}. 
. label define treatment3 0 "Treatment Group - High" 1 "Treatment Group - Low" 2"Control Group" 
{txt}
{com}. label values treatment  treatment2
{txt}
{com}. **ANOVA**
. anova m_ctrl treatment2

                         {txt}Number of obs = {res}     1,105    {txt}R-squared     ={res}  0.0094
                         {txt}Root MSE      =   {res} 1.84232    {txt}Adj R-squared ={res}  0.0076

                  {txt}Source {c |} Partial SS         df         MS        F    Prob>F
              {hline 11}{c +}{hline 52}
                   Model {c |} {res} 35.509012          2   17.754506      5.23  0.0055
                         {txt}{c |}
              treatment2 {c |} {res} 35.509012          2   17.754506      5.23  0.0055
                         {txt}{c |}
                Residual {c |} {res} 3740.3408      1,102   3.3941386  
              {txt}{hline 11}{c +}{hline 52}
                   Total {c |} {res} 3775.8498      1,104   3.4201538  
{txt}
{com}. **T-TEST CONTROL GROUP & TREATMENT GROUP LOW
. ttest m_ctrl if treatment2 == 0  | treatment2 == 1, by (treatment2)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    392{col 22} 4.540816{col 34} .0889002{col 46} 1.760135{col 58} 4.366034{col 70} 4.715599
       {txt}1 {c |}{res}{col 12}    360{col 22} 4.152778{col 34} .0971028{col 46} 1.842396{col 58} 3.961816{col 70} 4.343739
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    752{col 22} 4.355053{col 34} .0659751{col 46} 1.809209{col 58} 4.225536{col 70} 4.484571
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .3880385{col 34}  .131396{col 58} .1300908{col 70} .6459863
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.9532
{txt}H0: diff = 0                                     Degrees of freedom = {res}     750

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9984         {txt}Pr(|T| > |t|) = {res}0.0032          {txt}Pr(T > t) = {res}0.0016
{txt}
{com}. **T-TEST CONTROL GROUP & TREATMENT GROUP HIGH
. ttest m_ctrl if treatment2 == 0  | treatment2 == 2, by (treatment2)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    392{col 22} 4.540816{col 34} .0889002{col 46} 1.760135{col 58} 4.366034{col 70} 4.715599
       {txt}2 {c |}{res}{col 12}    353{col 22} 4.181303{col 34} .1026934{col 46} 1.929435{col 58} 3.979333{col 70} 4.383273
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    745{col 22}  4.37047{col 34} .0677709{col 46} 1.849786{col 58} 4.237425{col 70} 4.503515
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .3595132{col 34} .1351773{col 58} .0941383{col 70} .6248882
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}2{txt})                                      t = {res}  2.6596
{txt}H0: diff = 0                                     Degrees of freedom = {res}     743

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9960         {txt}Pr(|T| > |t|) = {res}0.0080          {txt}Pr(T > t) = {res}0.0040
{txt}
{com}. **T-TEST TREATMENT GROUP LOW & TREATMENT GROUP HIGH
. ttest m_ctrl if treatment2 == 1  | treatment2 == 2, by (treatment2) 

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       1 {c |}{res}{col 12}    360{col 22} 4.152778{col 34} .0971028{col 46} 1.842396{col 58} 3.961816{col 70} 4.343739
       {txt}2 {c |}{res}{col 12}    353{col 22} 4.181303{col 34} .1026934{col 46} 1.929435{col 58} 3.979333{col 70} 4.383273
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    713{col 22}   4.1669{col 34} .0705832{col 46} 1.884718{col 58} 4.028324{col 70} 4.305477
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0285253{col 34} .1412685{col 58}-.3058786{col 70} .2488279
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}1{txt}) - mean({res}2{txt})                                      t = {res} -0.2019
{txt}H0: diff = 0                                     Degrees of freedom = {res}     711

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4200         {txt}Pr(|T| > |t|) = {res}0.8400          {txt}Pr(T > t) = {res}0.5800
{txt}
{com}. 
. prtest likesd, by(high) 

{txt}Two-sample test of proportions                     {res}0{txt}: Number of obs = {res}     729
                                                   1{txt}: Number of obs = {res}     404
{txt}{hline 13}{c TT}{hline 64}
       Group{col 14}{c |}{col 22}Mean{col 29}Std. err.{col 44}z{col 49}P>|z|{col 59}[95% conf. interval]
{hline 13}{c +}{hline 64}
           0 {c |}{res}{col 17} .1179698{col 28} .0119471{col 58} .0945539{col 70} .1413858
           {txt}1 {c |}{res}{col 17} .1633663{col 28} .0183932{col 58} .1273162{col 70} .1994164
{txt}{hline 13}{c +}{hline 64}
        diff {c |}{res}{col 17}-.0453965{col 28} .0219327{col 58}-.0883839{col 70}-.0024091
{txt}{col 14}{c |}{col 17}under H0:{res}{col 28} .0211391{col 38}   -2.15{col 49}0.032
{txt}{hline 13}{c BT}{hline 64}
        diff = prop({res}0{txt}) - prop({res}1{txt})                                  z = {res} -2.1475
{txt}    H0: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = {res}0.0159         {txt}Pr(|Z| > |z|) = {res}0.0318          {txt}Pr(Z > z) = {res}0.9841
{txt}
{com}. prtest likesd, by(above_median_mcp)

{txt}Two-sample test of proportions                     {res}0{txt}: Number of obs = {res}     638
                                                   1{txt}: Number of obs = {res}     495
{txt}{hline 13}{c TT}{hline 64}
       Group{col 14}{c |}{col 22}Mean{col 29}Std. err.{col 44}z{col 49}P>|z|{col 59}[95% conf. interval]
{hline 13}{c +}{hline 64}
           0 {c |}{res}{col 17} .2163009{col 28} .0163002{col 58} .1843531{col 70} .2482488
           {txt}1 {c |}{res}{col 17} .0282828{col 28} .0074512{col 58} .0136787{col 70}  .042887
{txt}{hline 13}{c +}{hline 64}
        diff {c |}{res}{col 17} .1880181{col 28} .0179226{col 58} .1528905{col 70} .2231457
{txt}{col 14}{c |}{col 17}under H0:{res}{col 28}  .020414{col 38}    9.21{col 49}0.000
{txt}{hline 13}{c BT}{hline 64}
        diff = prop({res}0{txt}) - prop({res}1{txt})                                  z = {res}  9.2102
{txt}    H0: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = {res}1.0000         {txt}Pr(|Z| > |z|) = {res}0.0000          {txt}Pr(Z > z) = {res}0.0000
{txt}
{com}. 
. **FIGURE H1
. 
. ciplot likesd, by(high) msymbol(circle) msize(small) mcolor(black) /// 
>         scheme(s2mono) graphregion(c(white)) rcapopts(lpattern(dash)) note("") ///
>         ytitle("{c -(}it:Proportion Liking SD{c )-}") xtitle("") ///
>         xlabel(2 "{c -(}it:Treatment Group - Low & Control Group{c )-}" ///
>         5 "{c -(}it:Treatment Group - High{c )-}") name(ciplot_trt, replace) 
{res}{txt}
{com}. graph save ciplot_trt "ciplot_trt.gph", replace
{res}{txt}file {bf:ciplot_trt.gph} saved

{com}. graph export fig2.tif, replace
{txt}{p 0 4 2}
file {bf}
fig2.tif{rm}
saved as
TIFF
format
{p_end}

{com}. 
. **FIGURE H2
. 
. ciplot likesd, by(above_median_mcp) msymbol(circle) msize(small) mcolor(black) /// 
>         scheme(s2mono) graphregion(c(white)) rcapopts(lpattern(dash)) note("") ///
>         ytitle("{c -(}it:Proportion Liking SD{c )-}") xtitle("") ///
>         xlabel(2 "{c -(}it:Low IMCP (Below Median){c )-}"  5 "{c -(}it:High IMCP (Above Median){c )-}") ///
>          name(ciplot_mcp, replace) 
{res}{txt}
{com}. graph save ciplot_mcp "ciplot_mcp.gph", replace
{res}{txt}file {bf:ciplot_mcp.gph} saved

{com}. graph export fig3.tif, replace
{txt}{p 0 4 2}
file {bf}
fig3.tif{rm}
saved as
TIFF
format
{p_end}

{com}. 
. **OLS Model - Results **
.   
. eststo: quietly regress likesd high mcp anti_immi left_right sex polint unemp edu
{txt}({res}est1{txt} stored)

{com}. eststo: quietly regress likesd anti_immi high mcp left_right sex polint unemp edu i.high#c.mcp 
{txt}({res}est2{txt} stored)

{com}. esttab using LPM.rtf, replace se label title(Linear Probability Model(LPM)\label{c -(}tab1{c )-})  
{res}{txt}(output written to {browse  `"LPM.rtf"'})

{com}. eststo clear
{txt}
{com}. 
. reg likesd i.high##c.mcp anti_immi left_right sex polint unemp edu

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,094
{txt}{hline 13}{c +}{hline 34}   F(9, 1084)      = {res}    53.26
{txt}       Model {c |} {res} 39.9071087         9  4.43412319   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 90.2510266     1,084  .083257405   {txt}R-squared       ={res}    0.3066
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3008
{txt}       Total {c |} {res} 130.158135     1,093  .119083381   {txt}Root MSE        =   {res} .28854

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      likesd{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.high {c |}{col 14}{res}{space 2} .1926946{col 26}{space 2} .0486663{col 37}{space 1}    3.96{col 46}{space 3}0.000{col 54}{space 4} .0972038{col 67}{space 3} .2881853
{txt}{space 9}mcp {c |}{col 14}{res}{space 2}-.0212394{col 26}{space 2} .0075436{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4}-.0360412{col 67}{space 3}-.0064376
{txt}{space 12} {c |}
{space 2}high#c.mcp {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0350407{col 26}{space 2} .0114635{col 37}{space 1}   -3.06{col 46}{space 3}0.002{col 54}{space 4}-.0575338{col 67}{space 3}-.0125476
{txt}{space 12} {c |}
{space 3}anti_immi {c |}{col 14}{res}{space 2} .0637997{col 26}{space 2} .0056979{col 37}{space 1}   11.20{col 46}{space 3}0.000{col 54}{space 4} .0526195{col 67}{space 3}   .07498
{txt}{space 2}left_right {c |}{col 14}{res}{space 2} .0269832{col 26}{space 2} .0066915{col 37}{space 1}    4.03{col 46}{space 3}0.000{col 54}{space 4} .0138534{col 67}{space 3}  .040113
{txt}{space 9}sex {c |}{col 14}{res}{space 2}-.0157234{col 26}{space 2} .0187073{col 37}{space 1}   -0.84{col 46}{space 3}0.401{col 54}{space 4}-.0524301{col 67}{space 3} .0209833
{txt}{space 6}polint {c |}{col 14}{res}{space 2}-.0447522{col 26}{space 2}  .014308{col 37}{space 1}   -3.13{col 46}{space 3}0.002{col 54}{space 4}-.0728268{col 67}{space 3}-.0166777
{txt}{space 7}unemp {c |}{col 14}{res}{space 2} .0116728{col 26}{space 2} .0180427{col 37}{space 1}    0.65{col 46}{space 3}0.518{col 54}{space 4}-.0237298{col 67}{space 3} .0470753
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-.0189837{col 26}{space 2} .0045602{col 37}{space 1}   -4.16{col 46}{space 3}0.000{col 54}{space 4}-.0279316{col 67}{space 3}-.0100358
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0379669{col 26}{space 2} .0626048{col 37}{space 1}    0.61{col 46}{space 3}0.544{col 54}{space 4}-.0848734{col 67}{space 3} .1608072
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins  high, at(mcp=(1(0.2)7)) 
{res}
{txt}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,094}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.2}}
{lalign 8:3._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.4}}
{lalign 8:4._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.6}}
{lalign 8:5._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.8}}
{lalign 8:6._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2}}
{lalign 8:7._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.2}}
{lalign 8:8._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.4}}
{lalign 8:9._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.6}}
{lalign 8:10._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.8}}
{lalign 8:11._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3}}
{lalign 8:12._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.2}}
{lalign 8:13._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.4}}
{lalign 8:14._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.6}}
{lalign 8:15._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.8}}
{lalign 8:16._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4}}
{lalign 8:17._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.2}}
{lalign 8:18._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.4}}
{lalign 8:19._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.6}}
{lalign 8:20._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.8}}
{lalign 8:21._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5}}
{lalign 8:22._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.2}}
{lalign 8:23._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.4}}
{lalign 8:24._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.6}}
{lalign 8:25._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.8}}
{lalign 8:26._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6}}
{lalign 8:27._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.2}}
{lalign 8:28._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.4}}
{lalign 8:29._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.6}}
{lalign 8:30._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.8}}
{lalign 8:31._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:7}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_at#high {c |}
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{txt}{space 7} 1 1  {c |}{col 14}{res}{space 2} .3384485{col 26}{space 2} .0323788{col 37}{space 1}   10.45{col 46}{space 3}0.000{col 54}{space 4} .2749162{col 67}{space 3} .4019808
{txt}{space 7} 2 0  {c |}{col 14}{res}{space 2} .1765467{col 26}{space 2} .0224658{col 37}{space 1}    7.86{col 46}{space 3}0.000{col 54}{space 4} .1324653{col 67}{space 3} .2206282
{txt}{space 7} 2 1  {c |}{col 14}{res}{space 2} .3271924{col 26}{space 2} .0306824{col 37}{space 1}   10.66{col 46}{space 3}0.000{col 54}{space 4} .2669888{col 67}{space 3} .3873961
{txt}{space 7} 3 0  {c |}{col 14}{res}{space 2} .1722989{col 26}{space 2} .0211581{col 37}{space 1}    8.14{col 46}{space 3}0.000{col 54}{space 4} .1307834{col 67}{space 3} .2138143
{txt}{space 7} 3 1  {c |}{col 14}{res}{space 2} .3159364{col 26}{space 2} .0290136{col 37}{space 1}   10.89{col 46}{space 3}0.000{col 54}{space 4} .2590072{col 67}{space 3} .3728657
{txt}{space 7} 4 0  {c |}{col 14}{res}{space 2}  .168051{col 26}{space 2} .0198789{col 37}{space 1}    8.45{col 46}{space 3}0.000{col 54}{space 4} .1290455{col 67}{space 3} .2070565
{txt}{space 7} 4 1  {c |}{col 14}{res}{space 2} .3046804{col 26}{space 2} .0273776{col 37}{space 1}   11.13{col 46}{space 3}0.000{col 54}{space 4} .2509613{col 67}{space 3} .3583995
{txt}{space 7} 5 0  {c |}{col 14}{res}{space 2} .1638031{col 26}{space 2} .0186341{col 37}{space 1}    8.79{col 46}{space 3}0.000{col 54}{space 4} .1272402{col 67}{space 3}  .200366
{txt}{space 7} 5 1  {c |}{col 14}{res}{space 2} .2934243{col 26}{space 2} .0257805{col 37}{space 1}   11.38{col 46}{space 3}0.000{col 54}{space 4} .2428389{col 67}{space 3} .3440097
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{txt}{space 7} 7 0  {c |}{col 14}{res}{space 2} .1553073{col 26}{space 2} .0162789{col 37}{space 1}    9.54{col 46}{space 3}0.000{col 54}{space 4} .1233657{col 67}{space 3}  .187249
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{txt}{space 7} 8 1  {c |}{col 14}{res}{space 2} .2596562{col 26}{space 2} .0213098{col 37}{space 1}   12.18{col 46}{space 3}0.000{col 54}{space 4} .2178431{col 67}{space 3} .3014694
{txt}{space 7} 9 0  {c |}{col 14}{res}{space 2} .1468115{col 26}{space 2} .0141769{col 37}{space 1}   10.36{col 46}{space 3}0.000{col 54}{space 4} .1189943{col 67}{space 3} .1746288
{txt}{space 7} 9 1  {c |}{col 14}{res}{space 2} .2484002{col 26}{space 2} .0199663{col 37}{space 1}   12.44{col 46}{space 3}0.000{col 54}{space 4} .2092232{col 67}{space 3} .2875772
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{txt}{space 7}11 1  {c |}{col 14}{res}{space 2} .2258881{col 26}{space 2} .0176019{col 37}{space 1}   12.83{col 46}{space 3}0.000{col 54}{space 4} .1913505{col 67}{space 3} .2604258
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{txt}{space 7}12 1  {c |}{col 14}{res}{space 2} .2146321{col 26}{space 2} .0166269{col 37}{space 1}   12.91{col 46}{space 3}0.000{col 54}{space 4} .1820076{col 67}{space 3} .2472566
{txt}{space 7}13 0  {c |}{col 14}{res}{space 2}   .12982{col 26}{space 2} .0112952{col 37}{space 1}   11.49{col 46}{space 3}0.000{col 54}{space 4} .1076571{col 67}{space 3} .1519829
{txt}{space 7}13 1  {c |}{col 14}{res}{space 2} .2033761{col 26}{space 2} .0158254{col 37}{space 1}   12.85{col 46}{space 3}0.000{col 54}{space 4} .1723243{col 67}{space 3} .2344279
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{txt}{space 7}14 1  {c |}{col 14}{res}{space 2}   .19212{col 26}{space 2} .0152247{col 37}{space 1}   12.62{col 46}{space 3}0.000{col 54}{space 4} .1622469{col 67}{space 3} .2219932
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{txt}{space 7}15 1  {c |}{col 14}{res}{space 2}  .180864{col 26}{space 2} .0148492{col 37}{space 1}   12.18{col 46}{space 3}0.000{col 54}{space 4} .1517275{col 67}{space 3} .2100005
{txt}{space 7}16 0  {c |}{col 14}{res}{space 2} .1170763{col 26}{space 2} .0109695{col 37}{space 1}   10.67{col 46}{space 3}0.000{col 54}{space 4} .0955525{col 67}{space 3} .1386002
{txt}{space 7}16 1  {c |}{col 14}{res}{space 2}  .169608{col 26}{space 2} .0147163{col 37}{space 1}   11.53{col 46}{space 3}0.000{col 54}{space 4} .1407323{col 67}{space 3} .1984837
{txt}{space 7}17 0  {c |}{col 14}{res}{space 2} .1128284{col 26}{space 2} .0112702{col 37}{space 1}   10.01{col 46}{space 3}0.000{col 54}{space 4} .0907145{col 67}{space 3} .1349424
{txt}{space 7}17 1  {c |}{col 14}{res}{space 2} .1583519{col 26}{space 2} .0148324{col 37}{space 1}   10.68{col 46}{space 3}0.000{col 54}{space 4} .1292484{col 67}{space 3} .1874555
{txt}{space 7}18 0  {c |}{col 14}{res}{space 2} .1085805{col 26}{space 2} .0117583{col 37}{space 1}    9.23{col 46}{space 3}0.000{col 54}{space 4} .0855088{col 67}{space 3} .1316522
{txt}{space 7}18 1  {c |}{col 14}{res}{space 2} .1470959{col 26}{space 2} .0151918{col 37}{space 1}    9.68{col 46}{space 3}0.000{col 54}{space 4} .1172871{col 67}{space 3} .1769046
{txt}{space 7}19 0  {c |}{col 14}{res}{space 2} .1043327{col 26}{space 2} .0124118{col 37}{space 1}    8.41{col 46}{space 3}0.000{col 54}{space 4} .0799789{col 67}{space 3} .1286864
{txt}{space 7}19 1  {c |}{col 14}{res}{space 2} .1358399{col 26}{space 2}  .015778{col 37}{space 1}    8.61{col 46}{space 3}0.000{col 54}{space 4} .1048811{col 67}{space 3} .1667987
{txt}{space 7}20 0  {c |}{col 14}{res}{space 2} .1000848{col 26}{space 2}  .013206{col 37}{space 1}    7.58{col 46}{space 3}0.000{col 54}{space 4} .0741726{col 67}{space 3} .1259969
{txt}{space 7}20 1  {c |}{col 14}{res}{space 2} .1245838{col 26}{space 2} .0165667{col 37}{space 1}    7.52{col 46}{space 3}0.000{col 54}{space 4} .0920773{col 67}{space 3} .1570903
{txt}{space 7}21 0  {c |}{col 14}{res}{space 2} .0958369{col 26}{space 2} .0141172{col 37}{space 1}    6.79{col 46}{space 3}0.000{col 54}{space 4} .0681367{col 67}{space 3}  .123537
{txt}{space 7}21 1  {c |}{col 14}{res}{space 2} .1133278{col 26}{space 2} .0175308{col 37}{space 1}    6.46{col 46}{space 3}0.000{col 54}{space 4} .0789296{col 67}{space 3}  .147726
{txt}{space 7}22 0  {c |}{col 14}{res}{space 2}  .091589{col 26}{space 2} .0151244{col 37}{space 1}    6.06{col 46}{space 3}0.000{col 54}{space 4} .0619127{col 67}{space 3} .1212653
{txt}{space 7}22 1  {c |}{col 14}{res}{space 2} .1020718{col 26}{space 2} .0186431{col 37}{space 1}    5.48{col 46}{space 3}0.000{col 54}{space 4} .0654912{col 67}{space 3} .1386524
{txt}{space 7}23 0  {c |}{col 14}{res}{space 2} .0873411{col 26}{space 2} .0162095{col 37}{space 1}    5.39{col 46}{space 3}0.000{col 54}{space 4} .0555355{col 67}{space 3} .1191467
{txt}{space 7}23 1  {c |}{col 14}{res}{space 2} .0908157{col 26}{space 2} .0198786{col 37}{space 1}    4.57{col 46}{space 3}0.000{col 54}{space 4} .0518108{col 67}{space 3} .1298206
{txt}{space 7}24 0  {c |}{col 14}{res}{space 2} .0830932{col 26}{space 2} .0173581{col 37}{space 1}    4.79{col 46}{space 3}0.000{col 54}{space 4} .0490338{col 67}{space 3} .1171526
{txt}{space 7}24 1  {c |}{col 14}{res}{space 2} .0795597{col 26}{space 2} .0212159{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4} .0379308{col 67}{space 3} .1211886
{txt}{space 7}25 0  {c |}{col 14}{res}{space 2} .0788453{col 26}{space 2} .0185584{col 37}{space 1}    4.25{col 46}{space 3}0.000{col 54}{space 4} .0424309{col 67}{space 3} .1152597
{txt}{space 7}25 1  {c |}{col 14}{res}{space 2} .0683037{col 26}{space 2} .0226369{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} .0238865{col 67}{space 3} .1127208
{txt}{space 7}26 0  {c |}{col 14}{res}{space 2} .0745974{col 26}{space 2} .0198009{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4} .0357451{col 67}{space 3} .1134498
{txt}{space 7}26 1  {c |}{col 14}{res}{space 2} .0570476{col 26}{space 2} .0241269{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} .0097069{col 67}{space 3} .1043883
{txt}{space 7}27 0  {c |}{col 14}{res}{space 2} .0703496{col 26}{space 2} .0210781{col 37}{space 1}    3.34{col 46}{space 3}0.001{col 54}{space 4}  .028991{col 67}{space 3} .1117081
{txt}{space 7}27 1  {c |}{col 14}{res}{space 2} .0457916{col 26}{space 2} .0256738{col 37}{space 1}    1.78{col 46}{space 3}0.075{col 54}{space 4}-.0045844{col 67}{space 3} .0961676
{txt}{space 7}28 0  {c |}{col 14}{res}{space 2} .0661017{col 26}{space 2} .0223842{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .0221803{col 67}{space 3}  .110023
{txt}{space 7}28 1  {c |}{col 14}{res}{space 2} .0345356{col 26}{space 2}  .027268{col 37}{space 1}    1.27{col 46}{space 3}0.206{col 54}{space 4}-.0189684{col 67}{space 3} .0880396
{txt}{space 7}29 0  {c |}{col 14}{res}{space 2} .0618538{col 26}{space 2} .0237144{col 37}{space 1}    2.61{col 46}{space 3}0.009{col 54}{space 4} .0153225{col 67}{space 3} .1083851
{txt}{space 7}29 1  {c |}{col 14}{res}{space 2} .0232795{col 26}{space 2} .0289016{col 37}{space 1}    0.81{col 46}{space 3}0.421{col 54}{space 4}-.0334298{col 67}{space 3} .0799889
{txt}{space 7}30 0  {c |}{col 14}{res}{space 2} .0576059{col 26}{space 2} .0250648{col 37}{space 1}    2.30{col 46}{space 3}0.022{col 54}{space 4} .0084249{col 67}{space 3} .1067868
{txt}{space 7}30 1  {c |}{col 14}{res}{space 2} .0120235{col 26}{space 2} .0305683{col 37}{space 1}    0.39{col 46}{space 3}0.694{col 54}{space 4}-.0479563{col 67}{space 3} .0720032
{txt}{space 7}31 0  {c |}{col 14}{res}{space 2}  .053358{col 26}{space 2} .0264323{col 37}{space 1}    2.02{col 46}{space 3}0.044{col 54}{space 4} .0014937{col 67}{space 3} .1052222
{txt}{space 7}31 1  {c |}{col 14}{res}{space 2} .0007675{col 26}{space 2}  .032263{col 37}{space 1}    0.02{col 46}{space 3}0.981{col 54}{space 4}-.0625375{col 67}{space 3} .0640724
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%60)) recastci(rarea) ///
>         xlabel(1(1)7) xscale(r(1 7)) title("") ///
>         xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ytitle("Pr - {c -(}it:Liking SD{c )-}")  ylabel(0(.1)0.4) graphregion(c(white)) ///
>         yline(0) scheme(s2mono) name(lpm_res1, replace) plot2opts(lpattern(longdash)) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  xlabel(1(1)7) fcolor(gs14%20)  ///
>         ytitle("Percentage of Observations", axis(2))lcolor(black%30) leg(off)  /// 
>         yscale(alt axis(2))) ylabel(0(.1)0.4) xlabel(1(1)7) xscale(r(1 7)) ///
>         note("(4.1)", position(11))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp high}{p_end}
{res}{txt}
{com}. 
. reg likesd i.high##c.mcp anti_immi left_right sex polint unemp edu

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,094
{txt}{hline 13}{c +}{hline 34}   F(9, 1084)      = {res}    53.26
{txt}       Model {c |} {res} 39.9071087         9  4.43412319   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 90.2510266     1,084  .083257405   {txt}R-squared       ={res}    0.3066
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3008
{txt}       Total {c |} {res} 130.158135     1,093  .119083381   {txt}Root MSE        =   {res} .28854

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      likesd{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.high {c |}{col 14}{res}{space 2} .1926946{col 26}{space 2} .0486663{col 37}{space 1}    3.96{col 46}{space 3}0.000{col 54}{space 4} .0972038{col 67}{space 3} .2881853
{txt}{space 9}mcp {c |}{col 14}{res}{space 2}-.0212394{col 26}{space 2} .0075436{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4}-.0360412{col 67}{space 3}-.0064376
{txt}{space 12} {c |}
{space 2}high#c.mcp {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0350407{col 26}{space 2} .0114635{col 37}{space 1}   -3.06{col 46}{space 3}0.002{col 54}{space 4}-.0575338{col 67}{space 3}-.0125476
{txt}{space 12} {c |}
{space 3}anti_immi {c |}{col 14}{res}{space 2} .0637997{col 26}{space 2} .0056979{col 37}{space 1}   11.20{col 46}{space 3}0.000{col 54}{space 4} .0526195{col 67}{space 3}   .07498
{txt}{space 2}left_right {c |}{col 14}{res}{space 2} .0269832{col 26}{space 2} .0066915{col 37}{space 1}    4.03{col 46}{space 3}0.000{col 54}{space 4} .0138534{col 67}{space 3}  .040113
{txt}{space 9}sex {c |}{col 14}{res}{space 2}-.0157234{col 26}{space 2} .0187073{col 37}{space 1}   -0.84{col 46}{space 3}0.401{col 54}{space 4}-.0524301{col 67}{space 3} .0209833
{txt}{space 6}polint {c |}{col 14}{res}{space 2}-.0447522{col 26}{space 2}  .014308{col 37}{space 1}   -3.13{col 46}{space 3}0.002{col 54}{space 4}-.0728268{col 67}{space 3}-.0166777
{txt}{space 7}unemp {c |}{col 14}{res}{space 2} .0116728{col 26}{space 2} .0180427{col 37}{space 1}    0.65{col 46}{space 3}0.518{col 54}{space 4}-.0237298{col 67}{space 3} .0470753
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-.0189837{col 26}{space 2} .0045602{col 37}{space 1}   -4.16{col 46}{space 3}0.000{col 54}{space 4}-.0279316{col 67}{space 3}-.0100358
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0379669{col 26}{space 2} .0626048{col 37}{space 1}    0.61{col 46}{space 3}0.544{col 54}{space 4}-.0848734{col 67}{space 3} .1608072
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins r.high, at(mcp=(1(0.1)7))
{res}
{txt}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,094}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.1}}
{lalign 8:3._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.2}}
{lalign 8:4._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.3}}
{lalign 8:5._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.4}}
{lalign 8:6._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.5}}
{lalign 8:7._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.6}}
{lalign 8:8._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.7}}
{lalign 8:9._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.8}}
{lalign 8:10._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.9}}
{lalign 8:11._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2}}
{lalign 8:12._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.1}}
{lalign 8:13._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.2}}
{lalign 8:14._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.3}}
{lalign 8:15._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.4}}
{lalign 8:16._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.5}}
{lalign 8:17._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.6}}
{lalign 8:18._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.7}}
{lalign 8:19._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.8}}
{lalign 8:20._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.9}}
{lalign 8:21._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3}}
{lalign 8:22._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.1}}
{lalign 8:23._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.2}}
{lalign 8:24._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.3}}
{lalign 8:25._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.4}}
{lalign 8:26._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.5}}
{lalign 8:27._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.6}}
{lalign 8:28._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.7}}
{lalign 8:29._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.8}}
{lalign 8:30._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.9}}
{lalign 8:31._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4}}
{lalign 8:32._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.1}}
{lalign 8:33._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.2}}
{lalign 8:34._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.3}}
{lalign 8:35._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.4}}
{lalign 8:36._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.5}}
{lalign 8:37._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.6}}
{lalign 8:38._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.7}}
{lalign 8:39._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.8}}
{lalign 8:40._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.9}}
{lalign 8:41._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5}}
{lalign 8:42._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.1}}
{lalign 8:43._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.2}}
{lalign 8:44._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.3}}
{lalign 8:45._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.4}}
{lalign 8:46._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.5}}
{lalign 8:47._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.6}}
{lalign 8:48._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.7}}
{lalign 8:49._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.8}}
{lalign 8:50._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.9}}
{lalign 8:51._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6}}
{lalign 8:52._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.1}}
{lalign 8:53._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.2}}
{lalign 8:54._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.3}}
{lalign 8:55._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.4}}
{lalign 8:56._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.5}}
{lalign 8:57._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.6}}
{lalign 8:58._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.7}}
{lalign 8:59._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.8}}
{lalign 8:60._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.9}}
{lalign 8:61._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:7}}

{res}{col 1}{text}{hline 13}{c TT}{hline 11}{hline 12}{hline 11}
{col 14}{text}{c |}         df{col 26}           F{col 38}        P>F
{res}{col 1}{text}{hline 13}{c +}{hline 11}{hline 12}{hline 11}
{space 4}high@_at {c |}
(1 vs 0)  1  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    16.95{col 38}{space 2}   0.0000
{txt}(1 vs 0)  2  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.08{col 38}{space 2}   0.0000
{txt}(1 vs 0)  3  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.22{col 38}{space 2}   0.0000
{txt}(1 vs 0)  4  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.36{col 38}{space 2}   0.0000
{txt}(1 vs 0)  5  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.49{col 38}{space 2}   0.0000
{txt}(1 vs 0)  6  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.62{col 38}{space 2}   0.0000
{txt}(1 vs 0)  7  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.75{col 38}{space 2}   0.0000
{txt}(1 vs 0)  8  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.87{col 38}{space 2}   0.0000
{txt}(1 vs 0)  9  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.98{col 38}{space 2}   0.0000
{txt}(1 vs 0) 10  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    18.08{col 38}{space 2}   0.0000
{txt}(1 vs 0) 11  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    18.16{col 38}{space 2}   0.0000
{txt}(1 vs 0) 12  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    18.23{col 38}{space 2}   0.0000
{txt}(1 vs 0) 13  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    18.27{col 38}{space 2}   0.0000
{txt}(1 vs 0) 14  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    18.28{col 38}{space 2}   0.0000
{txt}(1 vs 0) 15  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    18.26{col 38}{space 2}   0.0000
{txt}(1 vs 0) 16  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    18.20{col 38}{space 2}   0.0000
{txt}(1 vs 0) 17  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    18.09{col 38}{space 2}   0.0000
{txt}(1 vs 0) 18  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.92{col 38}{space 2}   0.0000
{txt}(1 vs 0) 19  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.68{col 38}{space 2}   0.0000
{txt}(1 vs 0) 20  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.37{col 38}{space 2}   0.0000
{txt}(1 vs 0) 21  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    16.98{col 38}{space 2}   0.0000
{txt}(1 vs 0) 22  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    16.49{col 38}{space 2}   0.0001
{txt}(1 vs 0) 23  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    15.91{col 38}{space 2}   0.0001
{txt}(1 vs 0) 24  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    15.22{col 38}{space 2}   0.0001
{txt}(1 vs 0) 25  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    14.43{col 38}{space 2}   0.0002
{txt}(1 vs 0) 26  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    13.55{col 38}{space 2}   0.0002
{txt}(1 vs 0) 27  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    12.57{col 38}{space 2}   0.0004
{txt}(1 vs 0) 28  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    11.53{col 38}{space 2}   0.0007
{txt}(1 vs 0) 29  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    10.42{col 38}{space 2}   0.0013
{txt}(1 vs 0) 30  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     9.29{col 38}{space 2}   0.0024
{txt}(1 vs 0) 31  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     8.15{col 38}{space 2}   0.0044
{txt}(1 vs 0) 32  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     7.04{col 38}{space 2}   0.0081
{txt}(1 vs 0) 33  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     5.97{col 38}{space 2}   0.0147
{txt}(1 vs 0) 34  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.96{col 38}{space 2}   0.0261
{txt}(1 vs 0) 35  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.05{col 38}{space 2}   0.0445
{txt}(1 vs 0) 36  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.22{col 38}{space 2}   0.0729
{txt}(1 vs 0) 37  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     2.50{col 38}{space 2}   0.1139
{txt}(1 vs 0) 38  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.89{col 38}{space 2}   0.1698
{txt}(1 vs 0) 39  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.37{col 38}{space 2}   0.2415
{txt}(1 vs 0) 40  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.96{col 38}{space 2}   0.3285
{txt}(1 vs 0) 41  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.63{col 38}{space 2}   0.4287
{txt}(1 vs 0) 42  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.38{col 38}{space 2}   0.5387
{txt}(1 vs 0) 43  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.20{col 38}{space 2}   0.6548
{txt}(1 vs 0) 44  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.08{col 38}{space 2}   0.7728
{txt}(1 vs 0) 45  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.02{col 38}{space 2}   0.8892
{txt}(1 vs 0) 46  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.00{col 38}{space 2}   0.9991
{txt}(1 vs 0) 47  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.02{col 38}{space 2}   0.8941
{txt}(1 vs 0) 48  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.07{col 38}{space 2}   0.7971
{txt}(1 vs 0) 49  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.14{col 38}{space 2}   0.7089
{txt}(1 vs 0) 50  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.23{col 38}{space 2}   0.6295
{txt}(1 vs 0) 51  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.34{col 38}{space 2}   0.5588
{txt}(1 vs 0) 52  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.46{col 38}{space 2}   0.4961
{txt}(1 vs 0) 53  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.59{col 38}{space 2}   0.4408
{txt}(1 vs 0) 54  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.73{col 38}{space 2}   0.3923
{txt}(1 vs 0) 55  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.87{col 38}{space 2}   0.3498
{txt}(1 vs 0) 56  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.02{col 38}{space 2}   0.3126
{txt}(1 vs 0) 57  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.17{col 38}{space 2}   0.2801
{txt}(1 vs 0) 58  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.32{col 38}{space 2}   0.2516
{txt}(1 vs 0) 59  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.46{col 38}{space 2}   0.2266
{txt}(1 vs 0) 60  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.61{col 38}{space 2}   0.2047
{txt}(1 vs 0) 61  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.76{col 38}{space 2}   0.1855
{col 1}{text}      Joint {col 14}{c |}{result}{space 2}        2{col 26}{space 3}     9.14{col 38}{space 2}   0.0001
{col 14}{text}{c |}
{res}{col 1}{text} Denominator{col 14}{c |}{result}{space 2}     1084
{col 1}{text}{hline 13}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}   Contrast{col 26}   std. err.{col 38}     [95% con{col 51}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 4}high@_at {c |}
(1 vs 0)  1  {c |}{col 14}{res}{space 2} .1576538{col 26}{space 2} .0382972{col 37}{space 5} .0825088{col 51}{space 3} .2327989
{txt}(1 vs 0)  2  {c |}{col 14}{res}{space 2} .1541498{col 26}{space 2} .0372956{col 37}{space 5} .0809701{col 51}{space 3} .2273294
{txt}(1 vs 0)  3  {c |}{col 14}{res}{space 2} .1506457{col 26}{space 2} .0363025{col 37}{space 5} .0794146{col 51}{space 3} .2218768
{txt}(1 vs 0)  4  {c |}{col 14}{res}{space 2} .1471416{col 26}{space 2} .0353187{col 37}{space 5} .0778409{col 51}{space 3} .2164423
{txt}(1 vs 0)  5  {c |}{col 14}{res}{space 2} .1436375{col 26}{space 2}  .034345{col 37}{space 5} .0762474{col 51}{space 3} .2110277
{txt}(1 vs 0)  6  {c |}{col 14}{res}{space 2} .1401335{col 26}{space 2} .0333822{col 37}{space 5} .0746324{col 51}{space 3} .2056345
{txt}(1 vs 0)  7  {c |}{col 14}{res}{space 2} .1366294{col 26}{space 2} .0324314{col 37}{space 5}  .072994{col 51}{space 3} .2002648
{txt}(1 vs 0)  8  {c |}{col 14}{res}{space 2} .1331253{col 26}{space 2} .0314936{col 37}{space 5}   .07133{col 51}{space 3} .1949206
{txt}(1 vs 0)  9  {c |}{col 14}{res}{space 2} .1296213{col 26}{space 2}   .03057{col 37}{space 5} .0696382{col 51}{space 3} .1896044
{txt}(1 vs 0) 10  {c |}{col 14}{res}{space 2} .1261172{col 26}{space 2}  .029662{col 37}{space 5} .0679158{col 51}{space 3} .1843186
{txt}(1 vs 0) 11  {c |}{col 14}{res}{space 2} .1226131{col 26}{space 2}  .028771{col 37}{space 5}   .06616{col 51}{space 3} .1790662
{txt}(1 vs 0) 12  {c |}{col 14}{res}{space 2}  .119109{col 26}{space 2} .0278986{col 37}{space 5} .0643676{col 51}{space 3} .1738505
{txt}(1 vs 0) 13  {c |}{col 14}{res}{space 2}  .115605{col 26}{space 2} .0270468{col 37}{space 5}  .062535{col 51}{space 3} .1686749
{txt}(1 vs 0) 14  {c |}{col 14}{res}{space 2} .1121009{col 26}{space 2} .0262173{col 37}{space 5} .0606584{col 51}{space 3} .1635433
{txt}(1 vs 0) 15  {c |}{col 14}{res}{space 2} .1085968{col 26}{space 2} .0254125{col 37}{space 5} .0587335{col 51}{space 3} .1584601
{txt}(1 vs 0) 16  {c |}{col 14}{res}{space 2} .1050927{col 26}{space 2} .0246348{col 37}{space 5} .0567554{col 51}{space 3} .1534301
{txt}(1 vs 0) 17  {c |}{col 14}{res}{space 2} .1015887{col 26}{space 2} .0238868{col 37}{space 5}  .054719{col 51}{space 3} .1484583
{txt}(1 vs 0) 18  {c |}{col 14}{res}{space 2} .0980846{col 26}{space 2} .0231714{col 37}{space 5} .0526187{col 51}{space 3} .1435505
{txt}(1 vs 0) 19  {c |}{col 14}{res}{space 2} .0945805{col 26}{space 2} .0224917{col 37}{space 5} .0504484{col 51}{space 3} .1387127
{txt}(1 vs 0) 20  {c |}{col 14}{res}{space 2} .0910764{col 26}{space 2}  .021851{col 37}{space 5} .0482014{col 51}{space 3} .1339515
{txt}(1 vs 0) 21  {c |}{col 14}{res}{space 2} .0875724{col 26}{space 2} .0212529{col 37}{space 5}  .045871{col 51}{space 3} .1292738
{txt}(1 vs 0) 22  {c |}{col 14}{res}{space 2} .0840683{col 26}{space 2}  .020701{col 37}{space 5} .0434498{col 51}{space 3} .1246869
{txt}(1 vs 0) 23  {c |}{col 14}{res}{space 2} .0805642{col 26}{space 2} .0201992{col 37}{space 5} .0409304{col 51}{space 3} .1201981
{txt}(1 vs 0) 24  {c |}{col 14}{res}{space 2} .0770602{col 26}{space 2} .0197512{col 37}{space 5} .0383053{col 51}{space 3}  .115815
{txt}(1 vs 0) 25  {c |}{col 14}{res}{space 2} .0735561{col 26}{space 2} .0193608{col 37}{space 5} .0355672{col 51}{space 3}  .111545
{txt}(1 vs 0) 26  {c |}{col 14}{res}{space 2}  .070052{col 26}{space 2} .0190316{col 37}{space 5} .0327092{col 51}{space 3} .1073949
{txt}(1 vs 0) 27  {c |}{col 14}{res}{space 2} .0665479{col 26}{space 2} .0187667{col 37}{space 5} .0297248{col 51}{space 3} .1033711
{txt}(1 vs 0) 28  {c |}{col 14}{res}{space 2} .0630439{col 26}{space 2} .0185689{col 37}{space 5} .0266088{col 51}{space 3} .0994789
{txt}(1 vs 0) 29  {c |}{col 14}{res}{space 2} .0595398{col 26}{space 2} .0184404{col 37}{space 5} .0233569{col 51}{space 3} .0957227
{txt}(1 vs 0) 30  {c |}{col 14}{res}{space 2} .0560357{col 26}{space 2} .0183826{col 37}{space 5} .0199662{col 51}{space 3} .0921052
{txt}(1 vs 0) 31  {c |}{col 14}{res}{space 2} .0525317{col 26}{space 2} .0183962{col 37}{space 5} .0164354{col 51}{space 3} .0886279
{txt}(1 vs 0) 32  {c |}{col 14}{res}{space 2} .0490276{col 26}{space 2} .0184811{col 37}{space 5} .0127649{col 51}{space 3} .0852903
{txt}(1 vs 0) 33  {c |}{col 14}{res}{space 2} .0455235{col 26}{space 2} .0186362{col 37}{space 5} .0089565{col 51}{space 3} .0820906
{txt}(1 vs 0) 34  {c |}{col 14}{res}{space 2} .0420194{col 26}{space 2} .0188598{col 37}{space 5} .0050136{col 51}{space 3} .0790253
{txt}(1 vs 0) 35  {c |}{col 14}{res}{space 2} .0385154{col 26}{space 2} .0191496{col 37}{space 5} .0009409{col 51}{space 3} .0760898
{txt}(1 vs 0) 36  {c |}{col 14}{res}{space 2} .0350113{col 26}{space 2} .0195025{col 37}{space 5}-.0032556{col 51}{space 3} .0732782
{txt}(1 vs 0) 37  {c |}{col 14}{res}{space 2} .0315072{col 26}{space 2} .0199153{col 37}{space 5}-.0075696{col 51}{space 3}  .070584
{txt}(1 vs 0) 38  {c |}{col 14}{res}{space 2} .0280031{col 26}{space 2} .0203842{col 37}{space 5}-.0119938{col 51}{space 3} .0680001
{txt}(1 vs 0) 39  {c |}{col 14}{res}{space 2} .0244991{col 26}{space 2} .0209056{col 37}{space 5}-.0165209{col 51}{space 3}  .065519
{txt}(1 vs 0) 40  {c |}{col 14}{res}{space 2}  .020995{col 26}{space 2} .0214755{col 37}{space 5}-.0211433{col 51}{space 3} .0631332
{txt}(1 vs 0) 41  {c |}{col 14}{res}{space 2} .0174909{col 26}{space 2} .0220903{col 37}{space 5}-.0258536{col 51}{space 3} .0608354
{txt}(1 vs 0) 42  {c |}{col 14}{res}{space 2} .0139869{col 26}{space 2} .0227462{col 37}{space 5}-.0306448{col 51}{space 3} .0586185
{txt}(1 vs 0) 43  {c |}{col 14}{res}{space 2} .0104828{col 26}{space 2} .0234399{col 37}{space 5}  -.03551{col 51}{space 3} .0564755
{txt}(1 vs 0) 44  {c |}{col 14}{res}{space 2} .0069787{col 26}{space 2} .0241681{col 37}{space 5}-.0404429{col 51}{space 3} .0544003
{txt}(1 vs 0) 45  {c |}{col 14}{res}{space 2} .0034746{col 26}{space 2} .0249278{col 37}{space 5}-.0454375{col 51}{space 3} .0523868
{txt}(1 vs 0) 46  {c |}{col 14}{res}{space 2}-.0000294{col 26}{space 2} .0257161{col 37}{space 5}-.0504884{col 51}{space 3} .0504295
{txt}(1 vs 0) 47  {c |}{col 14}{res}{space 2}-.0035335{col 26}{space 2} .0265305{col 37}{space 5}-.0555905{col 51}{space 3} .0485235
{txt}(1 vs 0) 48  {c |}{col 14}{res}{space 2}-.0070376{col 26}{space 2} .0273688{col 37}{space 5}-.0607394{col 51}{space 3} .0466642
{txt}(1 vs 0) 49  {c |}{col 14}{res}{space 2}-.0105417{col 26}{space 2} .0282287{col 37}{space 5}-.0659307{col 51}{space 3} .0448474
{txt}(1 vs 0) 50  {c |}{col 14}{res}{space 2}-.0140457{col 26}{space 2} .0291083{col 37}{space 5}-.0711608{col 51}{space 3} .0430693
{txt}(1 vs 0) 51  {c |}{col 14}{res}{space 2}-.0175498{col 26}{space 2}  .030006{col 37}{space 5}-.0764262{col 51}{space 3} .0413266
{txt}(1 vs 0) 52  {c |}{col 14}{res}{space 2}-.0210539{col 26}{space 2} .0309201{col 37}{space 5}-.0817239{col 51}{space 3} .0396162
{txt}(1 vs 0) 53  {c |}{col 14}{res}{space 2}-.0245579{col 26}{space 2} .0318493{col 37}{space 5}-.0870511{col 51}{space 3} .0379352
{txt}(1 vs 0) 54  {c |}{col 14}{res}{space 2} -.028062{col 26}{space 2} .0327921{col 37}{space 5}-.0924053{col 51}{space 3} .0362812
{txt}(1 vs 0) 55  {c |}{col 14}{res}{space 2}-.0315661{col 26}{space 2} .0337476{col 37}{space 5}-.0977842{col 51}{space 3}  .034652
{txt}(1 vs 0) 56  {c |}{col 14}{res}{space 2}-.0350702{col 26}{space 2} .0347147{col 37}{space 5}-.1031857{col 51}{space 3} .0330454
{txt}(1 vs 0) 57  {c |}{col 14}{res}{space 2}-.0385742{col 26}{space 2} .0356923{col 37}{space 5}-.1086081{col 51}{space 3} .0314597
{txt}(1 vs 0) 58  {c |}{col 14}{res}{space 2}-.0420783{col 26}{space 2} .0366798{col 37}{space 5}-.1140497{col 51}{space 3} .0298931
{txt}(1 vs 0) 59  {c |}{col 14}{res}{space 2}-.0455824{col 26}{space 2} .0376762{col 37}{space 5} -.119509{col 51}{space 3} .0283442
{txt}(1 vs 0) 60  {c |}{col 14}{res}{space 2}-.0490865{col 26}{space 2} .0386809{col 37}{space 5}-.1249845{col 51}{space 3} .0268115
{txt}(1 vs 0) 61  {c |}{col 14}{res}{space 2}-.0525905{col 26}{space 2} .0396934{col 37}{space 5}-.1304751{col 51}{space 3}  .025294
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%60)) recastci(rarea) xlabel(1(1)7) ///
>         xlabel(1(1)7) xscale(r(1 7)) title("") ///
>         xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ytitle(" {c -(}&Delta{c )-}Pr of {c -(}it:Liking SD{c )-}" "(Contrasts between groups)") ///
>         ylabel(0(.1)0.4) graphregion(c(white)) ///
>         yline(0) scheme(s2mono) name(lpm_res2, replace) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  xlabel(1(1)7) fcolor(gs14%20)  ///
>         ytitle("Percentage of Observations", axis(2))lcolor(black%30) leg(off)  /// 
>         yscale(alt axis(2))) ylabel(0(.1)0.4) xlabel(1(1)7) xscale(r(1 7)) ///
>         note("(4.2)", position(11))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp}{p_end}
{res}{txt}
{com}. 
. 
. graph combine lpm_res1 lpm_res2,  col(2) xsize(11) ysize(4) ///
>         graphregion(margin(zero)) scale(2) name(fig4, replace)
{res}{txt}
{com}. 
. graph save fig4 "lpm_res.gph", replace
{res}{txt}file {bf:lpm_res.gph} saved

{com}. graph export fig4.tif, replace 
{txt}{p 0 4 2}
file {bf}
fig4.tif{rm}
saved as
TIFF
format
{p_end}

{com}. graph close lpm_res1 lpm_res2
{txt}
{com}. 
. ** A1 - Descriptive statistics**
. 
. univar likesd mcp anti_immi left_right sex polint unemp edu
                                        {txt}-------------- Quantiles --------------
Variable       n     Mean     S.D.      Min      .25      Mdn      .75      Max
-------------------------------------------------------------------------------
  likesd {res}   1133     0.13     0.34     0.00     0.00     0.00     0.00     1.00
     {txt}mcp {res}   1107     3.88     1.59     1.00     2.67     4.00     5.00     7.00
{txt}anti_immi {res}   1110     4.03     1.93     1.00     2.33     4.00     5.67     7.00
{txt}left_right {res}   1127     3.87     1.55     1.00     3.00     4.00     5.00     7.00
     {txt}sex {res}   1130     0.58     0.49     0.00     0.00     1.00     1.00     1.00
  {txt}polint {res}   1132     1.67     0.64     1.00     1.00     2.00     2.00     4.00
   {txt}unemp {res}   1133     0.57     0.50     0.00     0.00     1.00     1.00     1.00
     {txt}edu {res}   1128     6.38     2.02     1.00     5.00     7.00     8.00     9.00
{txt}-------------------------------------------------------------------------------

{com}. 
. ** A3 - DIFFERENT CODING (dv)**
. 
.         
. reg likesd3 i.high##c.mcp anti_immi left_right sex polint unemp edu

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,094
{txt}{hline 13}{c +}{hline 34}   F(9, 1084)      = {res}    32.49
{txt}       Model {c |} {res} 17.3693873         9  1.92993192   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 64.3902105     1,084  .059400563   {txt}R-squared       ={res}    0.2124
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2059
{txt}       Total {c |} {res} 81.7595978     1,093  .074802926   {txt}Root MSE        =   {res} .24372

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     likesd3{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.high {c |}{col 14}{res}{space 2} .1508032{col 26}{space 2} .0411066{col 37}{space 1}    3.67{col 46}{space 3}0.000{col 54}{space 4} .0701456{col 67}{space 3} .2314608
{txt}{space 9}mcp {c |}{col 14}{res}{space 2}-.0191573{col 26}{space 2} .0063718{col 37}{space 1}   -3.01{col 46}{space 3}0.003{col 54}{space 4}-.0316598{col 67}{space 3}-.0066547
{txt}{space 12} {c |}
{space 2}high#c.mcp {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0255288{col 26}{space 2} .0096828{col 37}{space 1}   -2.64{col 46}{space 3}0.008{col 54}{space 4}-.0445279{col 67}{space 3}-.0065297
{txt}{space 12} {c |}
{space 3}anti_immi {c |}{col 14}{res}{space 2}  .040853{col 26}{space 2} .0048128{col 37}{space 1}    8.49{col 46}{space 3}0.000{col 54}{space 4} .0314095{col 67}{space 3} .0502966
{txt}{space 2}left_right {c |}{col 14}{res}{space 2} .0081098{col 26}{space 2} .0056521{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4}-.0029805{col 67}{space 3}    .0192
{txt}{space 9}sex {c |}{col 14}{res}{space 2}-.0122208{col 26}{space 2} .0158014{col 37}{space 1}   -0.77{col 46}{space 3}0.439{col 54}{space 4}-.0432256{col 67}{space 3}  .018784
{txt}{space 6}polint {c |}{col 14}{res}{space 2}-.0235809{col 26}{space 2} .0120855{col 37}{space 1}   -1.95{col 46}{space 3}0.051{col 54}{space 4}-.0472945{col 67}{space 3} .0001327
{txt}{space 7}unemp {c |}{col 14}{res}{space 2} .0256342{col 26}{space 2}   .01524{col 37}{space 1}    1.68{col 46}{space 3}0.093{col 54}{space 4} -.004269{col 67}{space 3} .0555375
{txt}{space 9}edu {c |}{col 14}{res}{space 2}  -.01798{col 26}{space 2} .0038519{col 37}{space 1}   -4.67{col 46}{space 3}0.000{col 54}{space 4}-.0255379{col 67}{space 3} -.010422
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0886545{col 26}{space 2}   .05288{col 37}{space 1}    1.68{col 46}{space 3}0.094{col 54}{space 4}-.0151042{col 67}{space 3} .1924132
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins  high, at(mcp=(1(0.2)7)) 
{res}
{txt}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,094}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.2}}
{lalign 8:3._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.4}}
{lalign 8:4._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.6}}
{lalign 8:5._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.8}}
{lalign 8:6._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2}}
{lalign 8:7._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.2}}
{lalign 8:8._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.4}}
{lalign 8:9._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.6}}
{lalign 8:10._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.8}}
{lalign 8:11._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3}}
{lalign 8:12._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.2}}
{lalign 8:13._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.4}}
{lalign 8:14._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.6}}
{lalign 8:15._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.8}}
{lalign 8:16._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4}}
{lalign 8:17._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.2}}
{lalign 8:18._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.4}}
{lalign 8:19._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.6}}
{lalign 8:20._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.8}}
{lalign 8:21._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5}}
{lalign 8:22._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.2}}
{lalign 8:23._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.4}}
{lalign 8:24._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.6}}
{lalign 8:25._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.8}}
{lalign 8:26._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6}}
{lalign 8:27._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.2}}
{lalign 8:28._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.4}}
{lalign 8:29._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.6}}
{lalign 8:30._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.8}}
{lalign 8:31._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:7}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_at#high {c |}
{space 7} 1 0  {c |}{col 14}{res}{space 2} .1194319{col 26}{space 2} .0201007{col 37}{space 1}    5.94{col 46}{space 3}0.000{col 54}{space 4} .0799911{col 67}{space 3} .1588727
{txt}{space 7} 1 1  {c |}{col 14}{res}{space 2} .2447063{col 26}{space 2} .0273492{col 37}{space 1}    8.95{col 46}{space 3}0.000{col 54}{space 4} .1910429{col 67}{space 3} .2983697
{txt}{space 7} 2 0  {c |}{col 14}{res}{space 2} .1156004{col 26}{space 2} .0189761{col 37}{space 1}    6.09{col 46}{space 3}0.000{col 54}{space 4} .0783665{col 67}{space 3} .1528344
{txt}{space 7} 2 1  {c |}{col 14}{res}{space 2} .2357691{col 26}{space 2} .0259163{col 37}{space 1}    9.10{col 46}{space 3}0.000{col 54}{space 4} .1849173{col 67}{space 3} .2866209
{txt}{space 7} 3 0  {c |}{col 14}{res}{space 2}  .111769{col 26}{space 2} .0178715{col 37}{space 1}    6.25{col 46}{space 3}0.000{col 54}{space 4} .0767024{col 67}{space 3} .1468356
{txt}{space 7} 3 1  {c |}{col 14}{res}{space 2} .2268319{col 26}{space 2} .0245068{col 37}{space 1}    9.26{col 46}{space 3}0.000{col 54}{space 4} .1787458{col 67}{space 3} .2749179
{txt}{space 7} 4 0  {c |}{col 14}{res}{space 2} .1079375{col 26}{space 2}  .016791{col 37}{space 1}    6.43{col 46}{space 3}0.000{col 54}{space 4}  .074991{col 67}{space 3}  .140884
{txt}{space 7} 4 1  {c |}{col 14}{res}{space 2} .2178947{col 26}{space 2} .0231249{col 37}{space 1}    9.42{col 46}{space 3}0.000{col 54}{space 4} .1725201{col 67}{space 3} .2632692
{txt}{space 7} 5 0  {c |}{col 14}{res}{space 2} .1041061{col 26}{space 2} .0157395{col 37}{space 1}    6.61{col 46}{space 3}0.000{col 54}{space 4} .0732227{col 67}{space 3} .1349894
{txt}{space 7} 5 1  {c |}{col 14}{res}{space 2} .2089574{col 26}{space 2} .0217759{col 37}{space 1}    9.60{col 46}{space 3}0.000{col 54}{space 4} .1662298{col 67}{space 3} .2516851
{txt}{space 7} 6 0  {c |}{col 14}{res}{space 2} .1002746{col 26}{space 2} .0147233{col 37}{space 1}    6.81{col 46}{space 3}0.000{col 54}{space 4} .0713852{col 67}{space 3}  .129164
{txt}{space 7} 6 1  {c |}{col 14}{res}{space 2} .2000202{col 26}{space 2} .0204663{col 37}{space 1}    9.77{col 46}{space 3}0.000{col 54}{space 4} .1598621{col 67}{space 3} .2401783
{txt}{space 7} 7 0  {c |}{col 14}{res}{space 2} .0964432{col 26}{space 2} .0137502{col 37}{space 1}    7.01{col 46}{space 3}0.000{col 54}{space 4} .0694632{col 67}{space 3} .1234231
{txt}{space 7} 7 1  {c |}{col 14}{res}{space 2}  .191083{col 26}{space 2} .0192042{col 37}{space 1}    9.95{col 46}{space 3}0.000{col 54}{space 4} .1534013{col 67}{space 3} .2287647
{txt}{space 7} 8 0  {c |}{col 14}{res}{space 2} .0926117{col 26}{space 2} .0128299{col 37}{space 1}    7.22{col 46}{space 3}0.000{col 54}{space 4} .0674374{col 67}{space 3} .1177859
{txt}{space 7} 8 1  {c |}{col 14}{res}{space 2} .1821458{col 26}{space 2} .0179996{col 37}{space 1}   10.12{col 46}{space 3}0.000{col 54}{space 4} .1468277{col 67}{space 3} .2174638
{txt}{space 7} 9 0  {c |}{col 14}{res}{space 2} .0887802{col 26}{space 2} .0119747{col 37}{space 1}    7.41{col 46}{space 3}0.000{col 54}{space 4}  .065284{col 67}{space 3} .1122765
{txt}{space 7} 9 1  {c |}{col 14}{res}{space 2} .1732086{col 26}{space 2} .0168648{col 37}{space 1}   10.27{col 46}{space 3}0.000{col 54}{space 4} .1401172{col 67}{space 3}    .2063
{txt}{space 7}10 0  {c |}{col 14}{res}{space 2} .0849488{col 26}{space 2} .0111995{col 37}{space 1}    7.59{col 46}{space 3}0.000{col 54}{space 4} .0629736{col 67}{space 3}  .106924
{txt}{space 7}10 1  {c |}{col 14}{res}{space 2} .1642714{col 26}{space 2} .0158148{col 37}{space 1}   10.39{col 46}{space 3}0.000{col 54}{space 4} .1332402{col 67}{space 3} .1953025
{txt}{space 7}11 0  {c |}{col 14}{res}{space 2} .0811173{col 26}{space 2}  .010522{col 37}{space 1}    7.71{col 46}{space 3}0.000{col 54}{space 4} .0604715{col 67}{space 3} .1017631
{txt}{space 7}11 1  {c |}{col 14}{res}{space 2} .1553341{col 26}{space 2} .0148677{col 37}{space 1}   10.45{col 46}{space 3}0.000{col 54}{space 4} .1261615{col 67}{space 3} .1845068
{txt}{space 7}12 0  {c |}{col 14}{res}{space 2} .0772859{col 26}{space 2} .0099621{col 37}{space 1}    7.76{col 46}{space 3}0.000{col 54}{space 4} .0577386{col 67}{space 3} .0968331
{txt}{space 7}12 1  {c |}{col 14}{res}{space 2} .1463969{col 26}{space 2} .0140441{col 37}{space 1}   10.42{col 46}{space 3}0.000{col 54}{space 4} .1188401{col 67}{space 3} .1739537
{txt}{space 7}13 0  {c |}{col 14}{res}{space 2} .0734544{col 26}{space 2} .0095406{col 37}{space 1}    7.70{col 46}{space 3}0.000{col 54}{space 4} .0547342{col 67}{space 3} .0921746
{txt}{space 7}13 1  {c |}{col 14}{res}{space 2} .1374597{col 26}{space 2} .0133671{col 37}{space 1}   10.28{col 46}{space 3}0.000{col 54}{space 4} .1112314{col 67}{space 3}  .163688
{txt}{space 7}14 0  {c |}{col 14}{res}{space 2} .0696229{col 26}{space 2} .0092764{col 37}{space 1}    7.51{col 46}{space 3}0.000{col 54}{space 4} .0514213{col 67}{space 3} .0878246
{txt}{space 7}14 1  {c |}{col 14}{res}{space 2} .1285225{col 26}{space 2} .0128597{col 37}{space 1}    9.99{col 46}{space 3}0.000{col 54}{space 4} .1032897{col 67}{space 3} .1537553
{txt}{space 7}15 0  {c |}{col 14}{res}{space 2} .0657915{col 26}{space 2}  .009183{col 37}{space 1}    7.16{col 46}{space 3}0.000{col 54}{space 4} .0477731{col 67}{space 3} .0838099
{txt}{space 7}15 1  {c |}{col 14}{res}{space 2} .1195853{col 26}{space 2} .0125426{col 37}{space 1}    9.53{col 46}{space 3}0.000{col 54}{space 4} .0949747{col 67}{space 3} .1441958
{txt}{space 7}16 0  {c |}{col 14}{res}{space 2}   .06196{col 26}{space 2} .0092655{col 37}{space 1}    6.69{col 46}{space 3}0.000{col 54}{space 4} .0437796{col 67}{space 3} .0801404
{txt}{space 7}16 1  {c |}{col 14}{res}{space 2} .1106481{col 26}{space 2} .0124303{col 37}{space 1}    8.90{col 46}{space 3}0.000{col 54}{space 4} .0862578{col 67}{space 3} .1350383
{txt}{space 7}17 0  {c |}{col 14}{res}{space 2} .0581286{col 26}{space 2} .0095196{col 37}{space 1}    6.11{col 46}{space 3}0.000{col 54}{space 4} .0394497{col 67}{space 3} .0768074
{txt}{space 7}17 1  {c |}{col 14}{res}{space 2} .1017109{col 26}{space 2} .0125284{col 37}{space 1}    8.12{col 46}{space 3}0.000{col 54}{space 4} .0771282{col 67}{space 3} .1262935
{txt}{space 7}18 0  {c |}{col 14}{res}{space 2} .0542971{col 26}{space 2} .0099318{col 37}{space 1}    5.47{col 46}{space 3}0.000{col 54}{space 4} .0348093{col 67}{space 3} .0737849
{txt}{space 7}18 1  {c |}{col 14}{res}{space 2} .0927736{col 26}{space 2}  .012832{col 37}{space 1}    7.23{col 46}{space 3}0.000{col 54}{space 4} .0675953{col 67}{space 3}  .117952
{txt}{space 7}19 0  {c |}{col 14}{res}{space 2} .0504656{col 26}{space 2} .0104838{col 37}{space 1}    4.81{col 46}{space 3}0.000{col 54}{space 4} .0298949{col 67}{space 3} .0710364
{txt}{space 7}19 1  {c |}{col 14}{res}{space 2} .0838364{col 26}{space 2} .0133271{col 37}{space 1}    6.29{col 46}{space 3}0.000{col 54}{space 4} .0576866{col 67}{space 3} .1099862
{txt}{space 7}20 0  {c |}{col 14}{res}{space 2} .0466342{col 26}{space 2} .0111546{col 37}{space 1}    4.18{col 46}{space 3}0.000{col 54}{space 4} .0247471{col 67}{space 3} .0685212
{txt}{space 7}20 1  {c |}{col 14}{res}{space 2} .0748992{col 26}{space 2} .0139933{col 37}{space 1}    5.35{col 46}{space 3}0.000{col 54}{space 4} .0474421{col 67}{space 3} .1023563
{txt}{space 7}21 0  {c |}{col 14}{res}{space 2} .0428027{col 26}{space 2} .0119243{col 37}{space 1}    3.59{col 46}{space 3}0.000{col 54}{space 4} .0194054{col 67}{space 3}    .0662
{txt}{space 7}21 1  {c |}{col 14}{res}{space 2}  .065962{col 26}{space 2} .0148077{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4} .0369071{col 67}{space 3} .0950169
{txt}{space 7}22 0  {c |}{col 14}{res}{space 2} .0389713{col 26}{space 2}  .012775{col 37}{space 1}    3.05{col 46}{space 3}0.002{col 54}{space 4} .0139048{col 67}{space 3} .0640378
{txt}{space 7}22 1  {c |}{col 14}{res}{space 2} .0570248{col 26}{space 2} .0157471{col 37}{space 1}    3.62{col 46}{space 3}0.000{col 54}{space 4} .0261265{col 67}{space 3} .0879231
{txt}{space 7}23 0  {c |}{col 14}{res}{space 2} .0351398{col 26}{space 2} .0136916{col 37}{space 1}    2.57{col 46}{space 3}0.010{col 54}{space 4} .0082747{col 67}{space 3} .0620049
{txt}{space 7}23 1  {c |}{col 14}{res}{space 2} .0480875{col 26}{space 2} .0167907{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} .0151415{col 67}{space 3} .0810336
{txt}{space 7}24 0  {c |}{col 14}{res}{space 2} .0313083{col 26}{space 2} .0146618{col 37}{space 1}    2.14{col 46}{space 3}0.033{col 54}{space 4} .0025396{col 67}{space 3} .0600771
{txt}{space 7}24 1  {c |}{col 14}{res}{space 2} .0391503{col 26}{space 2} .0179203{col 37}{space 1}    2.18{col 46}{space 3}0.029{col 54}{space 4} .0039879{col 67}{space 3} .0743127
{txt}{space 7}25 0  {c |}{col 14}{res}{space 2} .0274769{col 26}{space 2} .0156756{col 37}{space 1}    1.75{col 46}{space 3}0.080{col 54}{space 4} -.003281{col 67}{space 3} .0582348
{txt}{space 7}25 1  {c |}{col 14}{res}{space 2} .0302131{col 26}{space 2} .0191206{col 37}{space 1}    1.58{col 46}{space 3}0.114{col 54}{space 4}-.0073045{col 67}{space 3} .0677307
{txt}{space 7}26 0  {c |}{col 14}{res}{space 2} .0236454{col 26}{space 2} .0167251{col 37}{space 1}    1.41{col 46}{space 3}0.158{col 54}{space 4}-.0091717{col 67}{space 3} .0564626
{txt}{space 7}26 1  {c |}{col 14}{res}{space 2} .0212759{col 26}{space 2} .0203791{col 37}{space 1}    1.04{col 46}{space 3}0.297{col 54}{space 4}-.0187111{col 67}{space 3} .0612629
{txt}{space 7}27 0  {c |}{col 14}{res}{space 2}  .019814{col 26}{space 2} .0178039{col 37}{space 1}    1.11{col 46}{space 3}0.266{col 54}{space 4}-.0151201{col 67}{space 3}  .054748
{txt}{space 7}27 1  {c |}{col 14}{res}{space 2} .0123387{col 26}{space 2} .0216857{col 37}{space 1}    0.57{col 46}{space 3}0.569{col 54}{space 4}-.0302121{col 67}{space 3} .0548895
{txt}{space 7}28 0  {c |}{col 14}{res}{space 2} .0159825{col 26}{space 2} .0189071{col 37}{space 1}    0.85{col 46}{space 3}0.398{col 54}{space 4}-.0211162{col 67}{space 3} .0530812
{txt}{space 7}28 1  {c |}{col 14}{res}{space 2} .0034015{col 26}{space 2} .0230323{col 37}{space 1}    0.15{col 46}{space 3}0.883{col 54}{space 4}-.0417914{col 67}{space 3} .0485944
{txt}{space 7}29 0  {c |}{col 14}{res}{space 2} .0121511{col 26}{space 2} .0200307{col 37}{space 1}    0.61{col 46}{space 3}0.544{col 54}{space 4}-.0271522{col 67}{space 3} .0514543
{txt}{space 7}29 1  {c |}{col 14}{res}{space 2}-.0055357{col 26}{space 2} .0244121{col 37}{space 1}   -0.23{col 46}{space 3}0.821{col 54}{space 4}-.0534361{col 67}{space 3} .0423646
{txt}{space 7}30 0  {c |}{col 14}{res}{space 2} .0083196{col 26}{space 2} .0211713{col 37}{space 1}    0.39{col 46}{space 3}0.694{col 54}{space 4}-.0332218{col 67}{space 3}  .049861
{txt}{space 7}30 1  {c |}{col 14}{res}{space 2} -.014473{col 26}{space 2} .0258199{col 37}{space 1}   -0.56{col 46}{space 3}0.575{col 54}{space 4}-.0651357{col 67}{space 3} .0361897
{txt}{space 7}31 0  {c |}{col 14}{res}{space 2} .0044881{col 26}{space 2} .0223264{col 37}{space 1}    0.20{col 46}{space 3}0.841{col 54}{space 4}-.0393197{col 67}{space 3}  .048296
{txt}{space 7}31 1  {c |}{col 14}{res}{space 2}-.0234102{col 26}{space 2} .0272514{col 37}{space 1}   -0.86{col 46}{space 3}0.391{col 54}{space 4}-.0768816{col 67}{space 3} .0300613
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%25)) recastci(rarea) ///
>         xlabel(1(1)7) xscale(r(1 7)) title("") ///
>         xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ytitle("Pr - {c -(}it:Liking SD{c )-}")  ylabel(0(.1)0.4) graphregion(c(white)) ///
>         yline(0) scheme(s2mono) name(lpm_robust3, replace) plot2opts(lpattern(longdash)) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  xlabel(1(1)7) fcolor(gray%20)  ///
>         ytitle("Percentage of Observations", axis(2))lcolor(black%30) leg(off)  /// 
>         yscale(alt axis(2))) ylabel(0(.1)0.4) xlabel(1(1)7) xscale(r(1 7)) ///
>         note("(7.1)", position(11))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp high}{p_end}
{res}{txt}
{com}. 
. reg likesd3 i.high##c.mcp anti_immi left_right sex polint unemp edu

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,094
{txt}{hline 13}{c +}{hline 34}   F(9, 1084)      = {res}    32.49
{txt}       Model {c |} {res} 17.3693873         9  1.92993192   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 64.3902105     1,084  .059400563   {txt}R-squared       ={res}    0.2124
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2059
{txt}       Total {c |} {res} 81.7595978     1,093  .074802926   {txt}Root MSE        =   {res} .24372

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     likesd3{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.high {c |}{col 14}{res}{space 2} .1508032{col 26}{space 2} .0411066{col 37}{space 1}    3.67{col 46}{space 3}0.000{col 54}{space 4} .0701456{col 67}{space 3} .2314608
{txt}{space 9}mcp {c |}{col 14}{res}{space 2}-.0191573{col 26}{space 2} .0063718{col 37}{space 1}   -3.01{col 46}{space 3}0.003{col 54}{space 4}-.0316598{col 67}{space 3}-.0066547
{txt}{space 12} {c |}
{space 2}high#c.mcp {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0255288{col 26}{space 2} .0096828{col 37}{space 1}   -2.64{col 46}{space 3}0.008{col 54}{space 4}-.0445279{col 67}{space 3}-.0065297
{txt}{space 12} {c |}
{space 3}anti_immi {c |}{col 14}{res}{space 2}  .040853{col 26}{space 2} .0048128{col 37}{space 1}    8.49{col 46}{space 3}0.000{col 54}{space 4} .0314095{col 67}{space 3} .0502966
{txt}{space 2}left_right {c |}{col 14}{res}{space 2} .0081098{col 26}{space 2} .0056521{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4}-.0029805{col 67}{space 3}    .0192
{txt}{space 9}sex {c |}{col 14}{res}{space 2}-.0122208{col 26}{space 2} .0158014{col 37}{space 1}   -0.77{col 46}{space 3}0.439{col 54}{space 4}-.0432256{col 67}{space 3}  .018784
{txt}{space 6}polint {c |}{col 14}{res}{space 2}-.0235809{col 26}{space 2} .0120855{col 37}{space 1}   -1.95{col 46}{space 3}0.051{col 54}{space 4}-.0472945{col 67}{space 3} .0001327
{txt}{space 7}unemp {c |}{col 14}{res}{space 2} .0256342{col 26}{space 2}   .01524{col 37}{space 1}    1.68{col 46}{space 3}0.093{col 54}{space 4} -.004269{col 67}{space 3} .0555375
{txt}{space 9}edu {c |}{col 14}{res}{space 2}  -.01798{col 26}{space 2} .0038519{col 37}{space 1}   -4.67{col 46}{space 3}0.000{col 54}{space 4}-.0255379{col 67}{space 3} -.010422
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0886545{col 26}{space 2}   .05288{col 37}{space 1}    1.68{col 46}{space 3}0.094{col 54}{space 4}-.0151042{col 67}{space 3} .1924132
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins r.high, at(mcp=(1(0.1)7))
{res}
{txt}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,094}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.1}}
{lalign 8:3._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.2}}
{lalign 8:4._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.3}}
{lalign 8:5._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.4}}
{lalign 8:6._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.5}}
{lalign 8:7._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.6}}
{lalign 8:8._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.7}}
{lalign 8:9._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.8}}
{lalign 8:10._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.9}}
{lalign 8:11._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2}}
{lalign 8:12._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.1}}
{lalign 8:13._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.2}}
{lalign 8:14._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.3}}
{lalign 8:15._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.4}}
{lalign 8:16._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.5}}
{lalign 8:17._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.6}}
{lalign 8:18._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.7}}
{lalign 8:19._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.8}}
{lalign 8:20._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.9}}
{lalign 8:21._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3}}
{lalign 8:22._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.1}}
{lalign 8:23._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.2}}
{lalign 8:24._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.3}}
{lalign 8:25._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.4}}
{lalign 8:26._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.5}}
{lalign 8:27._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.6}}
{lalign 8:28._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.7}}
{lalign 8:29._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.8}}
{lalign 8:30._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.9}}
{lalign 8:31._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4}}
{lalign 8:32._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.1}}
{lalign 8:33._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.2}}
{lalign 8:34._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.3}}
{lalign 8:35._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.4}}
{lalign 8:36._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.5}}
{lalign 8:37._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.6}}
{lalign 8:38._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.7}}
{lalign 8:39._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.8}}
{lalign 8:40._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.9}}
{lalign 8:41._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5}}
{lalign 8:42._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.1}}
{lalign 8:43._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.2}}
{lalign 8:44._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.3}}
{lalign 8:45._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.4}}
{lalign 8:46._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.5}}
{lalign 8:47._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.6}}
{lalign 8:48._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.7}}
{lalign 8:49._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.8}}
{lalign 8:50._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.9}}
{lalign 8:51._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6}}
{lalign 8:52._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.1}}
{lalign 8:53._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.2}}
{lalign 8:54._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.3}}
{lalign 8:55._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.4}}
{lalign 8:56._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.5}}
{lalign 8:57._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.6}}
{lalign 8:58._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.7}}
{lalign 8:59._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.8}}
{lalign 8:60._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.9}}
{lalign 8:61._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:7}}

{res}{col 1}{text}{hline 13}{c TT}{hline 11}{hline 12}{hline 11}
{col 14}{text}{c |}         df{col 26}           F{col 38}        P>F
{res}{col 1}{text}{hline 13}{c +}{hline 11}{hline 12}{hline 11}
{space 4}high@_at {c |}
(1 vs 0)  1  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    15.00{col 38}{space 2}   0.0001
{txt}(1 vs 0)  2  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    15.18{col 38}{space 2}   0.0001
{txt}(1 vs 0)  3  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    15.36{col 38}{space 2}   0.0001
{txt}(1 vs 0)  4  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    15.54{col 38}{space 2}   0.0001
{txt}(1 vs 0)  5  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    15.73{col 38}{space 2}   0.0001
{txt}(1 vs 0)  6  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    15.92{col 38}{space 2}   0.0001
{txt}(1 vs 0)  7  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    16.11{col 38}{space 2}   0.0001
{txt}(1 vs 0)  8  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    16.30{col 38}{space 2}   0.0001
{txt}(1 vs 0)  9  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    16.49{col 38}{space 2}   0.0001
{txt}(1 vs 0) 10  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    16.67{col 38}{space 2}   0.0000
{txt}(1 vs 0) 11  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    16.85{col 38}{space 2}   0.0000
{txt}(1 vs 0) 12  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.01{col 38}{space 2}   0.0000
{txt}(1 vs 0) 13  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.16{col 38}{space 2}   0.0000
{txt}(1 vs 0) 14  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.29{col 38}{space 2}   0.0000
{txt}(1 vs 0) 15  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.40{col 38}{space 2}   0.0000
{txt}(1 vs 0) 16  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.47{col 38}{space 2}   0.0000
{txt}(1 vs 0) 17  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.51{col 38}{space 2}   0.0000
{txt}(1 vs 0) 18  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.50{col 38}{space 2}   0.0000
{txt}(1 vs 0) 19  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.43{col 38}{space 2}   0.0000
{txt}(1 vs 0) 20  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.30{col 38}{space 2}   0.0000
{txt}(1 vs 0) 21  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    17.09{col 38}{space 2}   0.0000
{txt}(1 vs 0) 22  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    16.80{col 38}{space 2}   0.0000
{txt}(1 vs 0) 23  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    16.41{col 38}{space 2}   0.0001
{txt}(1 vs 0) 24  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    15.92{col 38}{space 2}   0.0001
{txt}(1 vs 0) 25  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    15.32{col 38}{space 2}   0.0001
{txt}(1 vs 0) 26  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    14.61{col 38}{space 2}   0.0001
{txt}(1 vs 0) 27  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    13.81{col 38}{space 2}   0.0002
{txt}(1 vs 0) 28  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    12.91{col 38}{space 2}   0.0003
{txt}(1 vs 0) 29  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    11.93{col 38}{space 2}   0.0006
{txt}(1 vs 0) 30  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    10.89{col 38}{space 2}   0.0010
{txt}(1 vs 0) 31  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     9.82{col 38}{space 2}   0.0018
{txt}(1 vs 0) 32  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     8.73{col 38}{space 2}   0.0032
{txt}(1 vs 0) 33  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     7.67{col 38}{space 2}   0.0057
{txt}(1 vs 0) 34  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     6.63{col 38}{space 2}   0.0101
{txt}(1 vs 0) 35  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     5.66{col 38}{space 2}   0.0175
{txt}(1 vs 0) 36  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.76{col 38}{space 2}   0.0294
{txt}(1 vs 0) 37  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.94{col 38}{space 2}   0.0475
{txt}(1 vs 0) 38  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.20{col 38}{space 2}   0.0738
{txt}(1 vs 0) 39  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     2.56{col 38}{space 2}   0.1097
{txt}(1 vs 0) 40  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     2.01{col 38}{space 2}   0.1566
{txt}(1 vs 0) 41  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.54{col 38}{space 2}   0.2148
{txt}(1 vs 0) 42  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.15{col 38}{space 2}   0.2837
{txt}(1 vs 0) 43  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.83{col 38}{space 2}   0.3621
{txt}(1 vs 0) 44  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.58{col 38}{space 2}   0.4478
{txt}(1 vs 0) 45  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.38{col 38}{space 2}   0.5387
{txt}(1 vs 0) 46  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.23{col 38}{space 2}   0.6324
{txt}(1 vs 0) 47  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.12{col 38}{space 2}   0.7265
{txt}(1 vs 0) 48  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.05{col 38}{space 2}   0.8191
{txt}(1 vs 0) 49  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.01{col 38}{space 2}   0.9087
{txt}(1 vs 0) 50  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.00{col 38}{space 2}   0.9941
{txt}(1 vs 0) 51  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.01{col 38}{space 2}   0.9255
{txt}(1 vs 0) 52  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.04{col 38}{space 2}   0.8505
{txt}(1 vs 0) 53  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.08{col 38}{space 2}   0.7812
{txt}(1 vs 0) 54  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.13{col 38}{space 2}   0.7174
{txt}(1 vs 0) 55  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.19{col 38}{space 2}   0.6590
{txt}(1 vs 0) 56  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.27{col 38}{space 2}   0.6059
{txt}(1 vs 0) 57  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.34{col 38}{space 2}   0.5576
{txt}(1 vs 0) 58  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.43{col 38}{space 2}   0.5137
{txt}(1 vs 0) 59  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.51{col 38}{space 2}   0.4740
{txt}(1 vs 0) 60  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.60{col 38}{space 2}   0.4381
{txt}(1 vs 0) 61  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.69{col 38}{space 2}   0.4055
{col 1}{text}      Joint {col 14}{c |}{result}{space 2}        2{col 26}{space 3}     8.76{col 38}{space 2}   0.0002
{col 14}{text}{c |}
{res}{col 1}{text} Denominator{col 14}{c |}{result}{space 2}     1084
{col 1}{text}{hline 13}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}   Contrast{col 26}   std. err.{col 38}     [95% con{col 51}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 4}high@_at {c |}
(1 vs 0)  1  {c |}{col 14}{res}{space 2} .1252744{col 26}{space 2} .0323483{col 37}{space 5} .0618021{col 51}{space 3} .1887467
{txt}(1 vs 0)  2  {c |}{col 14}{res}{space 2} .1227215{col 26}{space 2} .0315022{col 37}{space 5} .0609093{col 51}{space 3} .1845337
{txt}(1 vs 0)  3  {c |}{col 14}{res}{space 2} .1201686{col 26}{space 2} .0306634{col 37}{space 5} .0600023{col 51}{space 3}  .180335
{txt}(1 vs 0)  4  {c |}{col 14}{res}{space 2} .1176158{col 26}{space 2} .0298324{col 37}{space 5}   .05908{col 51}{space 3} .1761516
{txt}(1 vs 0)  5  {c |}{col 14}{res}{space 2} .1150629{col 26}{space 2} .0290099{col 37}{space 5} .0581409{col 51}{space 3} .1719849
{txt}(1 vs 0)  6  {c |}{col 14}{res}{space 2}   .11251{col 26}{space 2} .0281967{col 37}{space 5} .0571837{col 51}{space 3} .1678363
{txt}(1 vs 0)  7  {c |}{col 14}{res}{space 2} .1099571{col 26}{space 2} .0273936{col 37}{space 5} .0562066{col 51}{space 3} .1637076
{txt}(1 vs 0)  8  {c |}{col 14}{res}{space 2} .1074042{col 26}{space 2} .0266015{col 37}{space 5}  .055208{col 51}{space 3} .1596005
{txt}(1 vs 0)  9  {c |}{col 14}{res}{space 2} .1048514{col 26}{space 2} .0258214{col 37}{space 5} .0541858{col 51}{space 3} .1555169
{txt}(1 vs 0) 10  {c |}{col 14}{res}{space 2} .1022985{col 26}{space 2} .0250544{col 37}{space 5} .0531379{col 51}{space 3} .1514591
{txt}(1 vs 0) 11  {c |}{col 14}{res}{space 2} .0997456{col 26}{space 2} .0243018{col 37}{space 5} .0520617{col 51}{space 3} .1474295
{txt}(1 vs 0) 12  {c |}{col 14}{res}{space 2} .0971927{col 26}{space 2}  .023565{col 37}{space 5} .0509546{col 51}{space 3} .1434309
{txt}(1 vs 0) 13  {c |}{col 14}{res}{space 2} .0946399{col 26}{space 2} .0228454{col 37}{space 5} .0498136{col 51}{space 3} .1394661
{txt}(1 vs 0) 14  {c |}{col 14}{res}{space 2}  .092087{col 26}{space 2} .0221448{col 37}{space 5} .0486354{col 51}{space 3} .1355385
{txt}(1 vs 0) 15  {c |}{col 14}{res}{space 2} .0895341{col 26}{space 2}  .021465{col 37}{space 5} .0474163{col 51}{space 3} .1316518
{txt}(1 vs 0) 16  {c |}{col 14}{res}{space 2} .0869812{col 26}{space 2} .0208081{col 37}{space 5} .0461524{col 51}{space 3}   .12781
{txt}(1 vs 0) 17  {c |}{col 14}{res}{space 2} .0844283{col 26}{space 2} .0201763{col 37}{space 5} .0448393{col 51}{space 3} .1240174
{txt}(1 vs 0) 18  {c |}{col 14}{res}{space 2} .0818755{col 26}{space 2}  .019572{col 37}{space 5} .0434721{col 51}{space 3} .1202788
{txt}(1 vs 0) 19  {c |}{col 14}{res}{space 2} .0793226{col 26}{space 2} .0189979{col 37}{space 5} .0420457{col 51}{space 3} .1165994
{txt}(1 vs 0) 20  {c |}{col 14}{res}{space 2} .0767697{col 26}{space 2} .0184567{col 37}{space 5} .0405547{col 51}{space 3} .1129847
{txt}(1 vs 0) 21  {c |}{col 14}{res}{space 2} .0742168{col 26}{space 2} .0179515{col 37}{space 5} .0389931{col 51}{space 3} .1094405
{txt}(1 vs 0) 22  {c |}{col 14}{res}{space 2} .0716639{col 26}{space 2} .0174854{col 37}{space 5} .0373549{col 51}{space 3}  .105973
{txt}(1 vs 0) 23  {c |}{col 14}{res}{space 2} .0691111{col 26}{space 2} .0170615{col 37}{space 5} .0356338{col 51}{space 3} .1025884
{txt}(1 vs 0) 24  {c |}{col 14}{res}{space 2} .0665582{col 26}{space 2} .0166831{col 37}{space 5} .0338234{col 51}{space 3}  .099293
{txt}(1 vs 0) 25  {c |}{col 14}{res}{space 2} .0640053{col 26}{space 2} .0163534{col 37}{space 5} .0319175{col 51}{space 3} .0960931
{txt}(1 vs 0) 26  {c |}{col 14}{res}{space 2} .0614524{col 26}{space 2} .0160753{col 37}{space 5} .0299103{col 51}{space 3} .0929946
{txt}(1 vs 0) 27  {c |}{col 14}{res}{space 2} .0588996{col 26}{space 2} .0158515{col 37}{space 5} .0277964{col 51}{space 3} .0900027
{txt}(1 vs 0) 28  {c |}{col 14}{res}{space 2} .0563467{col 26}{space 2} .0156845{col 37}{space 5} .0255713{col 51}{space 3}  .087122
{txt}(1 vs 0) 29  {c |}{col 14}{res}{space 2} .0537938{col 26}{space 2} .0155759{col 37}{space 5} .0232314{col 51}{space 3} .0843562
{txt}(1 vs 0) 30  {c |}{col 14}{res}{space 2} .0512409{col 26}{space 2} .0155271{col 37}{space 5} .0207743{col 51}{space 3} .0817075
{txt}(1 vs 0) 31  {c |}{col 14}{res}{space 2}  .048688{col 26}{space 2} .0155386{col 37}{space 5} .0181989{col 51}{space 3} .0791772
{txt}(1 vs 0) 32  {c |}{col 14}{res}{space 2} .0461352{col 26}{space 2} .0156103{col 37}{space 5} .0155054{col 51}{space 3}  .076765
{txt}(1 vs 0) 33  {c |}{col 14}{res}{space 2} .0435823{col 26}{space 2} .0157413{col 37}{space 5} .0126954{col 51}{space 3} .0744692
{txt}(1 vs 0) 34  {c |}{col 14}{res}{space 2} .0410294{col 26}{space 2} .0159302{col 37}{space 5} .0097719{col 51}{space 3} .0722869
{txt}(1 vs 0) 35  {c |}{col 14}{res}{space 2} .0384765{col 26}{space 2} .0161749{col 37}{space 5} .0067388{col 51}{space 3} .0702143
{txt}(1 vs 0) 36  {c |}{col 14}{res}{space 2} .0359236{col 26}{space 2} .0164731{col 37}{space 5}  .003601{col 51}{space 3} .0682463
{txt}(1 vs 0) 37  {c |}{col 14}{res}{space 2} .0333708{col 26}{space 2} .0168217{col 37}{space 5}  .000364{col 51}{space 3} .0663775
{txt}(1 vs 0) 38  {c |}{col 14}{res}{space 2} .0308179{col 26}{space 2} .0172178{col 37}{space 5}-.0029661{col 51}{space 3} .0646019
{txt}(1 vs 0) 39  {c |}{col 14}{res}{space 2}  .028265{col 26}{space 2} .0176582{col 37}{space 5} -.006383{col 51}{space 3} .0629131
{txt}(1 vs 0) 40  {c |}{col 14}{res}{space 2} .0257121{col 26}{space 2} .0181396{col 37}{space 5}-.0098805{col 51}{space 3} .0613048
{txt}(1 vs 0) 41  {c |}{col 14}{res}{space 2} .0231593{col 26}{space 2} .0186588{col 37}{space 5}-.0134523{col 51}{space 3} .0597708
{txt}(1 vs 0) 42  {c |}{col 14}{res}{space 2} .0206064{col 26}{space 2} .0192129{col 37}{space 5}-.0170923{col 51}{space 3} .0583051
{txt}(1 vs 0) 43  {c |}{col 14}{res}{space 2} .0180535{col 26}{space 2} .0197989{col 37}{space 5}-.0207949{col 51}{space 3} .0569019
{txt}(1 vs 0) 44  {c |}{col 14}{res}{space 2} .0155006{col 26}{space 2} .0204139{col 37}{space 5}-.0245547{col 51}{space 3} .0555559
{txt}(1 vs 0) 45  {c |}{col 14}{res}{space 2} .0129477{col 26}{space 2} .0210556{col 37}{space 5}-.0283666{col 51}{space 3}  .054262
{txt}(1 vs 0) 46  {c |}{col 14}{res}{space 2} .0103949{col 26}{space 2} .0217214{col 37}{space 5} -.032226{col 51}{space 3} .0530157
{txt}(1 vs 0) 47  {c |}{col 14}{res}{space 2}  .007842{col 26}{space 2} .0224094{col 37}{space 5}-.0361287{col 51}{space 3} .0518127
{txt}(1 vs 0) 48  {c |}{col 14}{res}{space 2} .0052891{col 26}{space 2} .0231174{col 37}{space 5}-.0400708{col 51}{space 3} .0506491
{txt}(1 vs 0) 49  {c |}{col 14}{res}{space 2} .0027362{col 26}{space 2} .0238437{col 37}{space 5}-.0440489{col 51}{space 3} .0495213
{txt}(1 vs 0) 50  {c |}{col 14}{res}{space 2} .0001833{col 26}{space 2} .0245868{col 37}{space 5}-.0480597{col 51}{space 3} .0484264
{txt}(1 vs 0) 51  {c |}{col 14}{res}{space 2}-.0023695{col 26}{space 2}  .025345{col 37}{space 5}-.0521003{col 51}{space 3} .0473613
{txt}(1 vs 0) 52  {c |}{col 14}{res}{space 2}-.0049224{col 26}{space 2} .0261171{col 37}{space 5}-.0561682{col 51}{space 3} .0463234
{txt}(1 vs 0) 53  {c |}{col 14}{res}{space 2}-.0074753{col 26}{space 2} .0269019{col 37}{space 5} -.060261{col 51}{space 3} .0453104
{txt}(1 vs 0) 54  {c |}{col 14}{res}{space 2}-.0100282{col 26}{space 2} .0276983{col 37}{space 5}-.0643766{col 51}{space 3} .0443203
{txt}(1 vs 0) 55  {c |}{col 14}{res}{space 2} -.012581{col 26}{space 2} .0285054{col 37}{space 5}-.0685131{col 51}{space 3}  .043351
{txt}(1 vs 0) 56  {c |}{col 14}{res}{space 2}-.0151339{col 26}{space 2} .0293222{col 37}{space 5}-.0726687{col 51}{space 3} .0424008
{txt}(1 vs 0) 57  {c |}{col 14}{res}{space 2}-.0176868{col 26}{space 2}  .030148{col 37}{space 5}-.0768419{col 51}{space 3} .0414683
{txt}(1 vs 0) 58  {c |}{col 14}{res}{space 2}-.0202397{col 26}{space 2} .0309821{col 37}{space 5}-.0810313{col 51}{space 3}  .040552
{txt}(1 vs 0) 59  {c |}{col 14}{res}{space 2}-.0227926{col 26}{space 2} .0318237{col 37}{space 5}-.0852356{col 51}{space 3} .0396505
{txt}(1 vs 0) 60  {c |}{col 14}{res}{space 2}-.0253454{col 26}{space 2} .0326724{col 37}{space 5}-.0894537{col 51}{space 3} .0387629
{txt}(1 vs 0) 61  {c |}{col 14}{res}{space 2}-.0278983{col 26}{space 2} .0335275{col 37}{space 5}-.0936845{col 51}{space 3} .0378879
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%25)) recastci(rarea) xlabel(1(1)7) ///
>         xlabel(1(1)7) xscale(r(1 7)) title("") ///
>         xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ytitle(" {c -(}&Delta{c )-}Pr of {c -(}it:Liking SD{c )-}" "(Contrasts between groups)") ///
>         ylabel(0(.1)0.4) graphregion(c(white)) ///
>         yline(0) scheme(s2mono) name(lpm_robust4, replace) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  xlabel(1(1)7) fcolor(gray%20)  ///
>         ytitle("Percentage of Observations", axis(2))lcolor(black%30) leg(off)  /// 
>         yscale(alt axis(2))) ylabel(0(.1)0.4) xlabel(1(1)7) xscale(r(1 7)) ///
>         note("(7.2)", position(11))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp}{p_end}
{res}{txt}
{com}.         
. reg likesd2 i.high##c.mcp anti_immi left_right sex polint unemp edu

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,094
{txt}{hline 13}{c +}{hline 34}   F(9, 1084)      = {res}    70.23
{txt}       Model {c |} {res} 62.5011916         9  6.94457684   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 107.188022     1,084  .098881939   {txt}R-squared       ={res}    0.3683
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3631
{txt}       Total {c |} {res} 169.689214     1,093  .155250882   {txt}Root MSE        =   {res} .31445

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     likesd2{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.high {c |}{col 14}{res}{space 2} .1026117{col 26}{space 2} .0530365{col 37}{space 1}    1.93{col 46}{space 3}0.053{col 54}{space 4}-.0014542{col 67}{space 3} .2066776
{txt}{space 9}mcp {c |}{col 14}{res}{space 2}-.0279371{col 26}{space 2} .0082211{col 37}{space 1}   -3.40{col 46}{space 3}0.001{col 54}{space 4}-.0440682{col 67}{space 3}-.0118061
{txt}{space 12} {c |}
{space 2}high#c.mcp {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0201941{col 26}{space 2} .0124929{col 37}{space 1}   -1.62{col 46}{space 3}0.106{col 54}{space 4}-.0447071{col 67}{space 3} .0043189
{txt}{space 12} {c |}
{space 3}anti_immi {c |}{col 14}{res}{space 2} .0916832{col 26}{space 2} .0062096{col 37}{space 1}   14.76{col 46}{space 3}0.000{col 54}{space 4} .0794989{col 67}{space 3} .1038674
{txt}{space 2}left_right {c |}{col 14}{res}{space 2} .0210984{col 26}{space 2} .0072924{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .0067896{col 67}{space 3} .0354073
{txt}{space 9}sex {c |}{col 14}{res}{space 2} .0228409{col 26}{space 2} .0203873{col 37}{space 1}    1.12{col 46}{space 3}0.263{col 54}{space 4} -.017162{col 67}{space 3} .0628439
{txt}{space 6}polint {c |}{col 14}{res}{space 2}-.0223958{col 26}{space 2} .0155929{col 37}{space 1}   -1.44{col 46}{space 3}0.151{col 54}{space 4}-.0529915{col 67}{space 3} .0081999
{txt}{space 7}unemp {c |}{col 14}{res}{space 2} .0358933{col 26}{space 2} .0196629{col 37}{space 1}    1.83{col 46}{space 3}0.068{col 54}{space 4}-.0026884{col 67}{space 3}  .074475
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-.0187002{col 26}{space 2} .0049697{col 37}{space 1}   -3.76{col 46}{space 3}0.000{col 54}{space 4}-.0284516{col 67}{space 3}-.0089488
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0366414{col 26}{space 2} .0682267{col 37}{space 1}   -0.54{col 46}{space 3}0.591{col 54}{space 4}-.1705128{col 67}{space 3}   .09723
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins  high, at(mcp=(1(0.2)7)) 
{res}
{txt}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,094}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.2}}
{lalign 8:3._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.4}}
{lalign 8:4._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.6}}
{lalign 8:5._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.8}}
{lalign 8:6._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2}}
{lalign 8:7._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.2}}
{lalign 8:8._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.4}}
{lalign 8:9._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.6}}
{lalign 8:10._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.8}}
{lalign 8:11._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3}}
{lalign 8:12._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.2}}
{lalign 8:13._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.4}}
{lalign 8:14._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.6}}
{lalign 8:15._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.8}}
{lalign 8:16._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4}}
{lalign 8:17._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.2}}
{lalign 8:18._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.4}}
{lalign 8:19._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.6}}
{lalign 8:20._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.8}}
{lalign 8:21._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5}}
{lalign 8:22._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.2}}
{lalign 8:23._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.4}}
{lalign 8:24._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.6}}
{lalign 8:25._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.8}}
{lalign 8:26._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6}}
{lalign 8:27._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.2}}
{lalign 8:28._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.4}}
{lalign 8:29._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.6}}
{lalign 8:30._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.8}}
{lalign 8:31._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:7}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_at#high {c |}
{space 7} 1 0  {c |}{col 14}{res}{space 2} .2647809{col 26}{space 2} .0259343{col 37}{space 1}   10.21{col 46}{space 3}0.000{col 54}{space 4} .2138937{col 67}{space 3} .3156681
{txt}{space 7} 1 1  {c |}{col 14}{res}{space 2} .3471985{col 26}{space 2} .0352865{col 37}{space 1}    9.84{col 46}{space 3}0.000{col 54}{space 4}  .277961{col 67}{space 3} .4164361
{txt}{space 7} 2 0  {c |}{col 14}{res}{space 2} .2591935{col 26}{space 2} .0244833{col 37}{space 1}   10.59{col 46}{space 3}0.000{col 54}{space 4} .2111535{col 67}{space 3} .3072334
{txt}{space 7} 2 1  {c |}{col 14}{res}{space 2} .3375723{col 26}{space 2} .0334377{col 37}{space 1}   10.10{col 46}{space 3}0.000{col 54}{space 4} .2719624{col 67}{space 3} .4031822
{txt}{space 7} 3 0  {c |}{col 14}{res}{space 2} .2536061{col 26}{space 2} .0230581{col 37}{space 1}   11.00{col 46}{space 3}0.000{col 54}{space 4} .2083624{col 67}{space 3} .2988497
{txt}{space 7} 3 1  {c |}{col 14}{res}{space 2} .3279461{col 26}{space 2} .0316191{col 37}{space 1}   10.37{col 46}{space 3}0.000{col 54}{space 4} .2659045{col 67}{space 3} .3899876
{txt}{space 7} 4 0  {c |}{col 14}{res}{space 2} .2480186{col 26}{space 2}  .021664{col 37}{space 1}   11.45{col 46}{space 3}0.000{col 54}{space 4} .2055104{col 67}{space 3} .2905268
{txt}{space 7} 4 1  {c |}{col 14}{res}{space 2} .3183198{col 26}{space 2} .0298361{col 37}{space 1}   10.67{col 46}{space 3}0.000{col 54}{space 4} .2597767{col 67}{space 3} .3768629
{txt}{space 7} 5 0  {c |}{col 14}{res}{space 2} .2424312{col 26}{space 2} .0203074{col 37}{space 1}   11.94{col 46}{space 3}0.000{col 54}{space 4} .2025849{col 67}{space 3} .2822775
{txt}{space 7} 5 1  {c |}{col 14}{res}{space 2} .3086936{col 26}{space 2} .0280956{col 37}{space 1}   10.99{col 46}{space 3}0.000{col 54}{space 4} .2535656{col 67}{space 3} .3638216
{txt}{space 7} 6 0  {c |}{col 14}{res}{space 2} .2368438{col 26}{space 2} .0189963{col 37}{space 1}   12.47{col 46}{space 3}0.000{col 54}{space 4} .1995701{col 67}{space 3} .2741174
{txt}{space 7} 6 1  {c |}{col 14}{res}{space 2} .2990673{col 26}{space 2}  .026406{col 37}{space 1}   11.33{col 46}{space 3}0.000{col 54}{space 4} .2472546{col 67}{space 3}   .35088
{txt}{space 7} 7 0  {c |}{col 14}{res}{space 2} .2312563{col 26}{space 2} .0177407{col 37}{space 1}   13.04{col 46}{space 3}0.000{col 54}{space 4} .1964463{col 67}{space 3} .2660664
{txt}{space 7} 7 1  {c |}{col 14}{res}{space 2} .2894411{col 26}{space 2} .0247777{col 37}{space 1}   11.68{col 46}{space 3}0.000{col 54}{space 4} .2408235{col 67}{space 3} .3380586
{txt}{space 7} 8 0  {c |}{col 14}{res}{space 2} .2256689{col 26}{space 2} .0165534{col 37}{space 1}   13.63{col 46}{space 3}0.000{col 54}{space 4} .1931886{col 67}{space 3} .2581492
{txt}{space 7} 8 1  {c |}{col 14}{res}{space 2} .2798148{col 26}{space 2} .0232234{col 37}{space 1}   12.05{col 46}{space 3}0.000{col 54}{space 4} .2342468{col 67}{space 3} .3253828
{txt}{space 7} 9 0  {c |}{col 14}{res}{space 2} .2200815{col 26}{space 2}   .01545{col 37}{space 1}   14.24{col 46}{space 3}0.000{col 54}{space 4} .1897662{col 67}{space 3} .2503968
{txt}{space 7} 9 1  {c |}{col 14}{res}{space 2} .2701886{col 26}{space 2} .0217593{col 37}{space 1}   12.42{col 46}{space 3}0.000{col 54}{space 4} .2274934{col 67}{space 3} .3128837
{txt}{space 7}10 0  {c |}{col 14}{res}{space 2}  .214494{col 26}{space 2} .0144498{col 37}{space 1}   14.84{col 46}{space 3}0.000{col 54}{space 4} .1861413{col 67}{space 3} .2428468
{txt}{space 7}10 1  {c |}{col 14}{res}{space 2} .2605623{col 26}{space 2} .0204046{col 37}{space 1}   12.77{col 46}{space 3}0.000{col 54}{space 4} .2205253{col 67}{space 3} .3005993
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{txt}{space 7}11 1  {c |}{col 14}{res}{space 2} .2509361{col 26}{space 2} .0191825{col 37}{space 1}   13.08{col 46}{space 3}0.000{col 54}{space 4} .2132969{col 67}{space 3} .2885752
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{txt}{space 7}15 1  {c |}{col 14}{res}{space 2} .2124311{col 26}{space 2} .0161827{col 37}{space 1}   13.13{col 46}{space 3}0.000{col 54}{space 4} .1806781{col 67}{space 3} .2441841
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{txt}{space 7}16 1  {c |}{col 14}{res}{space 2} .2028048{col 26}{space 2} .0160379{col 37}{space 1}   12.65{col 46}{space 3}0.000{col 54}{space 4} .1713361{col 67}{space 3} .2342736
{txt}{space 7}17 0  {c |}{col 14}{res}{space 2}  .175382{col 26}{space 2} .0122823{col 37}{space 1}   14.28{col 46}{space 3}0.000{col 54}{space 4} .1512823{col 67}{space 3} .1994818
{txt}{space 7}17 1  {c |}{col 14}{res}{space 2} .1931786{col 26}{space 2} .0161644{col 37}{space 1}   11.95{col 46}{space 3}0.000{col 54}{space 4} .1614616{col 67}{space 3} .2248956
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{txt}{space 7}18 1  {c |}{col 14}{res}{space 2} .1835523{col 26}{space 2} .0165561{col 37}{space 1}   11.09{col 46}{space 3}0.000{col 54}{space 4} .1510667{col 67}{space 3} .2160379
{txt}{space 7}19 0  {c |}{col 14}{res}{space 2} .1642072{col 26}{space 2} .0135263{col 37}{space 1}   12.14{col 46}{space 3}0.000{col 54}{space 4} .1376664{col 67}{space 3}  .190748
{txt}{space 7}19 1  {c |}{col 14}{res}{space 2} .1739261{col 26}{space 2} .0171948{col 37}{space 1}   10.12{col 46}{space 3}0.000{col 54}{space 4} .1401871{col 67}{space 3}  .207665
{txt}{space 7}20 0  {c |}{col 14}{res}{space 2} .1586198{col 26}{space 2} .0143919{col 37}{space 1}   11.02{col 46}{space 3}0.000{col 54}{space 4} .1303807{col 67}{space 3} .1868588
{txt}{space 7}20 1  {c |}{col 14}{res}{space 2} .1642998{col 26}{space 2} .0180544{col 37}{space 1}    9.10{col 46}{space 3}0.000{col 54}{space 4} .1288742{col 67}{space 3} .1997254
{txt}{space 7}21 0  {c |}{col 14}{res}{space 2} .1530323{col 26}{space 2} .0153849{col 37}{space 1}    9.95{col 46}{space 3}0.000{col 54}{space 4} .1228447{col 67}{space 3}   .18322
{txt}{space 7}21 1  {c |}{col 14}{res}{space 2} .1546736{col 26}{space 2} .0191051{col 37}{space 1}    8.10{col 46}{space 3}0.000{col 54}{space 4} .1171864{col 67}{space 3} .1921608
{txt}{space 7}22 0  {c |}{col 14}{res}{space 2} .1474449{col 26}{space 2} .0164825{col 37}{space 1}    8.95{col 46}{space 3}0.000{col 54}{space 4} .1151036{col 67}{space 3} .1797862
{txt}{space 7}22 1  {c |}{col 14}{res}{space 2} .1450473{col 26}{space 2} .0203172{col 37}{space 1}    7.14{col 46}{space 3}0.000{col 54}{space 4} .1051818{col 67}{space 3} .1849129
{txt}{space 7}23 0  {c |}{col 14}{res}{space 2} .1418575{col 26}{space 2} .0176652{col 37}{space 1}    8.03{col 46}{space 3}0.000{col 54}{space 4} .1071957{col 67}{space 3} .1765193
{txt}{space 7}23 1  {c |}{col 14}{res}{space 2} .1354211{col 26}{space 2} .0216637{col 37}{space 1}    6.25{col 46}{space 3}0.000{col 54}{space 4} .0929135{col 67}{space 3} .1779286
{txt}{space 7}24 0  {c |}{col 14}{res}{space 2}   .13627{col 26}{space 2} .0189169{col 37}{space 1}    7.20{col 46}{space 3}0.000{col 54}{space 4} .0991521{col 67}{space 3}  .173388
{txt}{space 7}24 1  {c |}{col 14}{res}{space 2} .1257948{col 26}{space 2} .0231211{col 37}{space 1}    5.44{col 46}{space 3}0.000{col 54}{space 4} .0804276{col 67}{space 3}  .171162
{txt}{space 7}25 0  {c |}{col 14}{res}{space 2} .1306826{col 26}{space 2} .0202249{col 37}{space 1}    6.46{col 46}{space 3}0.000{col 54}{space 4} .0909982{col 67}{space 3} .1703671
{txt}{space 7}25 1  {c |}{col 14}{res}{space 2} .1161686{col 26}{space 2} .0246697{col 37}{space 1}    4.71{col 46}{space 3}0.000{col 54}{space 4} .0677627{col 67}{space 3} .1645744
{txt}{space 7}26 0  {c |}{col 14}{res}{space 2} .1250952{col 26}{space 2}  .021579{col 37}{space 1}    5.80{col 46}{space 3}0.000{col 54}{space 4} .0827539{col 67}{space 3} .1674365
{txt}{space 7}26 1  {c |}{col 14}{res}{space 2} .1065423{col 26}{space 2} .0262935{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} .0549504{col 67}{space 3} .1581343
{txt}{space 7}27 0  {c |}{col 14}{res}{space 2} .1195078{col 26}{space 2}  .022971{col 37}{space 1}    5.20{col 46}{space 3}0.000{col 54}{space 4} .0744352{col 67}{space 3} .1645803
{txt}{space 7}27 1  {c |}{col 14}{res}{space 2} .0969161{col 26}{space 2} .0279793{col 37}{space 1}    3.46{col 46}{space 3}0.001{col 54}{space 4} .0420163{col 67}{space 3} .1518159
{txt}{space 7}28 0  {c |}{col 14}{res}{space 2} .1139203{col 26}{space 2} .0243943{col 37}{space 1}    4.67{col 46}{space 3}0.000{col 54}{space 4} .0660549{col 67}{space 3} .1617858
{txt}{space 7}28 1  {c |}{col 14}{res}{space 2} .0872898{col 26}{space 2} .0297167{col 37}{space 1}    2.94{col 46}{space 3}0.003{col 54}{space 4} .0289811{col 67}{space 3} .1455985
{txt}{space 7}29 0  {c |}{col 14}{res}{space 2} .1083329{col 26}{space 2} .0258439{col 37}{space 1}    4.19{col 46}{space 3}0.000{col 54}{space 4} .0576231{col 67}{space 3} .1590427
{txt}{space 7}29 1  {c |}{col 14}{res}{space 2} .0776636{col 26}{space 2}  .031497{col 37}{space 1}    2.47{col 46}{space 3}0.014{col 54}{space 4} .0158617{col 67}{space 3} .1394655
{txt}{space 7}30 0  {c |}{col 14}{res}{space 2} .1027455{col 26}{space 2} .0273156{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4}  .049148{col 67}{space 3} .1563429
{txt}{space 7}30 1  {c |}{col 14}{res}{space 2} .0680373{col 26}{space 2} .0333134{col 37}{space 1}    2.04{col 46}{space 3}0.041{col 54}{space 4} .0026714{col 67}{space 3} .1334033
{txt}{space 7}31 0  {c |}{col 14}{res}{space 2}  .097158{col 26}{space 2} .0288059{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4} .0406363{col 67}{space 3} .1536797
{txt}{space 7}31 1  {c |}{col 14}{res}{space 2} .0584111{col 26}{space 2} .0351602{col 37}{space 1}    1.66{col 46}{space 3}0.097{col 54}{space 4}-.0105787{col 67}{space 3} .1274009
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%25)) recastci(rarea) ///
>         xlabel(1(1)7) xscale(r(1 7)) title("") ///
>         xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ytitle("Pr - {c -(}it:Liking SD{c )-}")  ylabel(0(.1)0.4) graphregion(c(white)) ///
>         yline(0) scheme(s2mono) name(lpm_robust1, replace) plot2opts(lpattern(longdash)) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  xlabel(1(1)7) fcolor(gray%20)  ///
>         ytitle("Percentage of Observations", axis(2))lcolor(black%30) leg(off)  /// 
>         yscale(alt axis(2))) ylabel(0(.1)0.4) xlabel(1(1)7) xscale(r(1 7)) ///
>         note("(7.3)", position(11))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp high}{p_end}
{res}{txt}
{com}. 
. reg likesd2 i.high##c.mcp anti_immi left_right sex polint unemp edu

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,094
{txt}{hline 13}{c +}{hline 34}   F(9, 1084)      = {res}    70.23
{txt}       Model {c |} {res} 62.5011916         9  6.94457684   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 107.188022     1,084  .098881939   {txt}R-squared       ={res}    0.3683
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3631
{txt}       Total {c |} {res} 169.689214     1,093  .155250882   {txt}Root MSE        =   {res} .31445

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     likesd2{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.high {c |}{col 14}{res}{space 2} .1026117{col 26}{space 2} .0530365{col 37}{space 1}    1.93{col 46}{space 3}0.053{col 54}{space 4}-.0014542{col 67}{space 3} .2066776
{txt}{space 9}mcp {c |}{col 14}{res}{space 2}-.0279371{col 26}{space 2} .0082211{col 37}{space 1}   -3.40{col 46}{space 3}0.001{col 54}{space 4}-.0440682{col 67}{space 3}-.0118061
{txt}{space 12} {c |}
{space 2}high#c.mcp {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0201941{col 26}{space 2} .0124929{col 37}{space 1}   -1.62{col 46}{space 3}0.106{col 54}{space 4}-.0447071{col 67}{space 3} .0043189
{txt}{space 12} {c |}
{space 3}anti_immi {c |}{col 14}{res}{space 2} .0916832{col 26}{space 2} .0062096{col 37}{space 1}   14.76{col 46}{space 3}0.000{col 54}{space 4} .0794989{col 67}{space 3} .1038674
{txt}{space 2}left_right {c |}{col 14}{res}{space 2} .0210984{col 26}{space 2} .0072924{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .0067896{col 67}{space 3} .0354073
{txt}{space 9}sex {c |}{col 14}{res}{space 2} .0228409{col 26}{space 2} .0203873{col 37}{space 1}    1.12{col 46}{space 3}0.263{col 54}{space 4} -.017162{col 67}{space 3} .0628439
{txt}{space 6}polint {c |}{col 14}{res}{space 2}-.0223958{col 26}{space 2} .0155929{col 37}{space 1}   -1.44{col 46}{space 3}0.151{col 54}{space 4}-.0529915{col 67}{space 3} .0081999
{txt}{space 7}unemp {c |}{col 14}{res}{space 2} .0358933{col 26}{space 2} .0196629{col 37}{space 1}    1.83{col 46}{space 3}0.068{col 54}{space 4}-.0026884{col 67}{space 3}  .074475
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-.0187002{col 26}{space 2} .0049697{col 37}{space 1}   -3.76{col 46}{space 3}0.000{col 54}{space 4}-.0284516{col 67}{space 3}-.0089488
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0366414{col 26}{space 2} .0682267{col 37}{space 1}   -0.54{col 46}{space 3}0.591{col 54}{space 4}-.1705128{col 67}{space 3}   .09723
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins r.high, at(mcp=(1(0.1)7))
{res}
{txt}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,094}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.1}}
{lalign 8:3._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.2}}
{lalign 8:4._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.3}}
{lalign 8:5._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.4}}
{lalign 8:6._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.5}}
{lalign 8:7._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.6}}
{lalign 8:8._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.7}}
{lalign 8:9._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.8}}
{lalign 8:10._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.9}}
{lalign 8:11._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2}}
{lalign 8:12._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.1}}
{lalign 8:13._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.2}}
{lalign 8:14._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.3}}
{lalign 8:15._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.4}}
{lalign 8:16._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.5}}
{lalign 8:17._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.6}}
{lalign 8:18._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.7}}
{lalign 8:19._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.8}}
{lalign 8:20._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.9}}
{lalign 8:21._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3}}
{lalign 8:22._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.1}}
{lalign 8:23._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.2}}
{lalign 8:24._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.3}}
{lalign 8:25._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.4}}
{lalign 8:26._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.5}}
{lalign 8:27._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.6}}
{lalign 8:28._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.7}}
{lalign 8:29._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.8}}
{lalign 8:30._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.9}}
{lalign 8:31._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4}}
{lalign 8:32._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.1}}
{lalign 8:33._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.2}}
{lalign 8:34._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.3}}
{lalign 8:35._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.4}}
{lalign 8:36._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.5}}
{lalign 8:37._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.6}}
{lalign 8:38._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.7}}
{lalign 8:39._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.8}}
{lalign 8:40._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.9}}
{lalign 8:41._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5}}
{lalign 8:42._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.1}}
{lalign 8:43._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.2}}
{lalign 8:44._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.3}}
{lalign 8:45._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.4}}
{lalign 8:46._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.5}}
{lalign 8:47._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.6}}
{lalign 8:48._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.7}}
{lalign 8:49._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.8}}
{lalign 8:50._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.9}}
{lalign 8:51._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6}}
{lalign 8:52._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.1}}
{lalign 8:53._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.2}}
{lalign 8:54._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.3}}
{lalign 8:55._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.4}}
{lalign 8:56._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.5}}
{lalign 8:57._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.6}}
{lalign 8:58._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.7}}
{lalign 8:59._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.8}}
{lalign 8:60._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.9}}
{lalign 8:61._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:7}}

{res}{col 1}{text}{hline 13}{c TT}{hline 11}{hline 12}{hline 11}
{col 14}{text}{c |}         df{col 26}           F{col 38}        P>F
{res}{col 1}{text}{hline 13}{c +}{hline 11}{hline 12}{hline 11}
{space 4}high@_at {c |}
(1 vs 0)  1  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.90{col 38}{space 2}   0.0486
{txt}(1 vs 0)  2  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.91{col 38}{space 2}   0.0482
{txt}(1 vs 0)  3  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.92{col 38}{space 2}   0.0478
{txt}(1 vs 0)  4  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.94{col 38}{space 2}   0.0475
{txt}(1 vs 0)  5  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.94{col 38}{space 2}   0.0473
{txt}(1 vs 0)  6  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.95{col 38}{space 2}   0.0471
{txt}(1 vs 0)  7  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.96{col 38}{space 2}   0.0469
{txt}(1 vs 0)  8  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.96{col 38}{space 2}   0.0469
{txt}(1 vs 0)  9  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.96{col 38}{space 2}   0.0470
{txt}(1 vs 0) 10  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.95{col 38}{space 2}   0.0471
{txt}(1 vs 0) 11  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.94{col 38}{space 2}   0.0475
{txt}(1 vs 0) 12  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.92{col 38}{space 2}   0.0479
{txt}(1 vs 0) 13  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.90{col 38}{space 2}   0.0486
{txt}(1 vs 0) 14  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.86{col 38}{space 2}   0.0496
{txt}(1 vs 0) 15  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.82{col 38}{space 2}   0.0508
{txt}(1 vs 0) 16  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.77{col 38}{space 2}   0.0524
{txt}(1 vs 0) 17  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.70{col 38}{space 2}   0.0545
{txt}(1 vs 0) 18  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.63{col 38}{space 2}   0.0571
{txt}(1 vs 0) 19  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.53{col 38}{space 2}   0.0604
{txt}(1 vs 0) 20  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.42{col 38}{space 2}   0.0646
{txt}(1 vs 0) 21  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.29{col 38}{space 2}   0.0699
{txt}(1 vs 0) 22  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.15{col 38}{space 2}   0.0764
{txt}(1 vs 0) 23  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     2.98{col 38}{space 2}   0.0847
{txt}(1 vs 0) 24  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     2.79{col 38}{space 2}   0.0950
{txt}(1 vs 0) 25  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     2.59{col 38}{space 2}   0.1079
{txt}(1 vs 0) 26  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     2.37{col 38}{space 2}   0.1239
{txt}(1 vs 0) 27  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     2.14{col 38}{space 2}   0.1439
{txt}(1 vs 0) 28  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.90{col 38}{space 2}   0.1684
{txt}(1 vs 0) 29  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.66{col 38}{space 2}   0.1982
{txt}(1 vs 0) 30  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.42{col 38}{space 2}   0.2340
{txt}(1 vs 0) 31  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.19{col 38}{space 2}   0.2763
{txt}(1 vs 0) 32  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.97{col 38}{space 2}   0.3254
{txt}(1 vs 0) 33  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.77{col 38}{space 2}   0.3811
{txt}(1 vs 0) 34  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.59{col 38}{space 2}   0.4429
{txt}(1 vs 0) 35  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.43{col 38}{space 2}   0.5099
{txt}(1 vs 0) 36  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.31{col 38}{space 2}   0.5809
{txt}(1 vs 0) 37  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.20{col 38}{space 2}   0.6544
{txt}(1 vs 0) 38  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.12{col 38}{space 2}   0.7290
{txt}(1 vs 0) 39  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.06{col 38}{space 2}   0.8032
{txt}(1 vs 0) 40  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.02{col 38}{space 2}   0.8757
{txt}(1 vs 0) 41  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.00{col 38}{space 2}   0.9457
{txt}(1 vs 0) 42  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.00{col 38}{space 2}   0.9878
{txt}(1 vs 0) 43  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.01{col 38}{space 2}   0.9252
{txt}(1 vs 0) 44  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.03{col 38}{space 2}   0.8668
{txt}(1 vs 0) 45  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.06{col 38}{space 2}   0.8128
{txt}(1 vs 0) 46  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.09{col 38}{space 2}   0.7629
{txt}(1 vs 0) 47  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.13{col 38}{space 2}   0.7172
{txt}(1 vs 0) 48  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.18{col 38}{space 2}   0.6754
{txt}(1 vs 0) 49  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.22{col 38}{space 2}   0.6372
{txt}(1 vs 0) 50  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.27{col 38}{space 2}   0.6023
{txt}(1 vs 0) 51  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.32{col 38}{space 2}   0.5706
{txt}(1 vs 0) 52  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.37{col 38}{space 2}   0.5417
{txt}(1 vs 0) 53  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.42{col 38}{space 2}   0.5153
{txt}(1 vs 0) 54  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.47{col 38}{space 2}   0.4912
{txt}(1 vs 0) 55  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.52{col 38}{space 2}   0.4692
{txt}(1 vs 0) 56  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.57{col 38}{space 2}   0.4490
{txt}(1 vs 0) 57  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.62{col 38}{space 2}   0.4306
{txt}(1 vs 0) 58  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.67{col 38}{space 2}   0.4137
{txt}(1 vs 0) 59  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.71{col 38}{space 2}   0.3981
{txt}(1 vs 0) 60  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.76{col 38}{space 2}   0.3838
{txt}(1 vs 0) 61  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.80{col 38}{space 2}   0.3706
{col 1}{text}      Joint {col 14}{c |}{result}{space 2}        2{col 26}{space 3}     1.98{col 38}{space 2}   0.1387
{col 14}{text}{c |}
{res}{col 1}{text} Denominator{col 14}{c |}{result}{space 2}     1084
{col 1}{text}{hline 13}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}   Contrast{col 26}   std. err.{col 38}     [95% con{col 51}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 4}high@_at {c |}
(1 vs 0)  1  {c |}{col 14}{res}{space 2} .0824176{col 26}{space 2} .0417363{col 37}{space 5} .0005245{col 51}{space 3} .1643108
{txt}(1 vs 0)  2  {c |}{col 14}{res}{space 2} .0803982{col 26}{space 2} .0406447{col 37}{space 5}  .000647{col 51}{space 3} .1601495
{txt}(1 vs 0)  3  {c |}{col 14}{res}{space 2} .0783788{col 26}{space 2} .0395625{col 37}{space 5} .0007511{col 51}{space 3} .1560065
{txt}(1 vs 0)  4  {c |}{col 14}{res}{space 2} .0763594{col 26}{space 2} .0384903{col 37}{space 5} .0008355{col 51}{space 3} .1518834
{txt}(1 vs 0)  5  {c |}{col 14}{res}{space 2}   .07434{col 26}{space 2} .0374292{col 37}{space 5} .0008982{col 51}{space 3} .1477818
{txt}(1 vs 0)  6  {c |}{col 14}{res}{space 2} .0723206{col 26}{space 2} .0363799{col 37}{space 5} .0009375{col 51}{space 3} .1437037
{txt}(1 vs 0)  7  {c |}{col 14}{res}{space 2} .0703012{col 26}{space 2} .0353437{col 37}{space 5} .0009513{col 51}{space 3} .1396511
{txt}(1 vs 0)  8  {c |}{col 14}{res}{space 2} .0682818{col 26}{space 2} .0343217{col 37}{space 5} .0009372{col 51}{space 3} .1356263
{txt}(1 vs 0)  9  {c |}{col 14}{res}{space 2} .0662624{col 26}{space 2} .0333152{col 37}{space 5} .0008927{col 51}{space 3}  .131632
{txt}(1 vs 0) 10  {c |}{col 14}{res}{space 2}  .064243{col 26}{space 2} .0323257{col 37}{space 5}  .000815{col 51}{space 3} .1276709
{txt}(1 vs 0) 11  {c |}{col 14}{res}{space 2} .0622235{col 26}{space 2} .0313546{col 37}{space 5} .0007009{col 51}{space 3} .1237462
{txt}(1 vs 0) 12  {c |}{col 14}{res}{space 2} .0602041{col 26}{space 2}  .030404{col 37}{space 5} .0005469{col 51}{space 3} .1198614
{txt}(1 vs 0) 13  {c |}{col 14}{res}{space 2} .0581847{col 26}{space 2} .0294756{col 37}{space 5} .0003491{col 51}{space 3} .1160204
{txt}(1 vs 0) 14  {c |}{col 14}{res}{space 2} .0561653{col 26}{space 2} .0285717{col 37}{space 5} .0001033{col 51}{space 3} .1122273
{txt}(1 vs 0) 15  {c |}{col 14}{res}{space 2} .0541459{col 26}{space 2} .0276946{col 37}{space 5}-.0001952{col 51}{space 3}  .108487
{txt}(1 vs 0) 16  {c |}{col 14}{res}{space 2} .0521265{col 26}{space 2}  .026847{col 37}{space 5}-.0005516{col 51}{space 3} .1048045
{txt}(1 vs 0) 17  {c |}{col 14}{res}{space 2} .0501071{col 26}{space 2} .0260319{col 37}{space 5}-.0009715{col 51}{space 3} .1011856
{txt}(1 vs 0) 18  {c |}{col 14}{res}{space 2} .0480877{col 26}{space 2} .0252522{col 37}{space 5}-.0014611{col 51}{space 3} .0976364
{txt}(1 vs 0) 19  {c |}{col 14}{res}{space 2} .0460683{col 26}{space 2} .0245115{col 37}{space 5} -.002027{col 51}{space 3} .0941635
{txt}(1 vs 0) 20  {c |}{col 14}{res}{space 2} .0440488{col 26}{space 2} .0238132{col 37}{space 5}-.0026764{col 51}{space 3} .0907741
{txt}(1 vs 0) 21  {c |}{col 14}{res}{space 2} .0420294{col 26}{space 2} .0231614{col 37}{space 5}-.0034168{col 51}{space 3} .0874757
{txt}(1 vs 0) 22  {c |}{col 14}{res}{space 2}   .04001{col 26}{space 2}   .02256{col 37}{space 5}-.0042561{col 51}{space 3} .0842762
{txt}(1 vs 0) 23  {c |}{col 14}{res}{space 2} .0379906{col 26}{space 2} .0220131{col 37}{space 5}-.0052024{col 51}{space 3} .0811836
{txt}(1 vs 0) 24  {c |}{col 14}{res}{space 2} .0359712{col 26}{space 2} .0215248{col 37}{space 5}-.0062639{col 51}{space 3} .0782063
{txt}(1 vs 0) 25  {c |}{col 14}{res}{space 2} .0339518{col 26}{space 2} .0210994{col 37}{space 5}-.0074485{col 51}{space 3} .0753521
{txt}(1 vs 0) 26  {c |}{col 14}{res}{space 2} .0319324{col 26}{space 2} .0207406{col 37}{space 5}-.0087639{col 51}{space 3} .0726287
{txt}(1 vs 0) 27  {c |}{col 14}{res}{space 2}  .029913{col 26}{space 2} .0204519{col 37}{space 5}-.0102169{col 51}{space 3} .0700428
{txt}(1 vs 0) 28  {c |}{col 14}{res}{space 2} .0278936{col 26}{space 2} .0202364{col 37}{space 5}-.0118134{col 51}{space 3} .0676005
{txt}(1 vs 0) 29  {c |}{col 14}{res}{space 2} .0258742{col 26}{space 2} .0200963{col 37}{space 5} -.013558{col 51}{space 3} .0653063
{txt}(1 vs 0) 30  {c |}{col 14}{res}{space 2} .0238548{col 26}{space 2} .0200334{col 37}{space 5}-.0154538{col 51}{space 3} .0631633
{txt}(1 vs 0) 31  {c |}{col 14}{res}{space 2} .0218353{col 26}{space 2} .0200482{col 37}{space 5}-.0175024{col 51}{space 3}  .061173
{txt}(1 vs 0) 32  {c |}{col 14}{res}{space 2} .0198159{col 26}{space 2} .0201407{col 37}{space 5}-.0197032{col 51}{space 3} .0593351
{txt}(1 vs 0) 33  {c |}{col 14}{res}{space 2} .0177965{col 26}{space 2} .0203097{col 37}{space 5}-.0220543{col 51}{space 3} .0576473
{txt}(1 vs 0) 34  {c |}{col 14}{res}{space 2} .0157771{col 26}{space 2} .0205534{col 37}{space 5}-.0245519{col 51}{space 3} .0561061
{txt}(1 vs 0) 35  {c |}{col 14}{res}{space 2} .0137577{col 26}{space 2} .0208692{col 37}{space 5}-.0271909{col 51}{space 3} .0547063
{txt}(1 vs 0) 36  {c |}{col 14}{res}{space 2} .0117383{col 26}{space 2} .0212538{col 37}{space 5} -.029965{col 51}{space 3} .0534416
{txt}(1 vs 0) 37  {c |}{col 14}{res}{space 2} .0097189{col 26}{space 2} .0217037{col 37}{space 5}-.0328671{col 51}{space 3} .0523048
{txt}(1 vs 0) 38  {c |}{col 14}{res}{space 2} .0076995{col 26}{space 2} .0222147{col 37}{space 5}-.0358892{col 51}{space 3} .0512882
{txt}(1 vs 0) 39  {c |}{col 14}{res}{space 2} .0056801{col 26}{space 2} .0227829{col 37}{space 5}-.0390235{col 51}{space 3} .0503836
{txt}(1 vs 0) 40  {c |}{col 14}{res}{space 2} .0036607{col 26}{space 2}  .023404{col 37}{space 5}-.0422616{col 51}{space 3} .0495829
{txt}(1 vs 0) 41  {c |}{col 14}{res}{space 2} .0016412{col 26}{space 2}  .024074{col 37}{space 5}-.0455956{col 51}{space 3} .0488781
{txt}(1 vs 0) 42  {c |}{col 14}{res}{space 2}-.0003782{col 26}{space 2} .0247888{col 37}{space 5}-.0490177{col 51}{space 3} .0482614
{txt}(1 vs 0) 43  {c |}{col 14}{res}{space 2}-.0023976{col 26}{space 2} .0255448{col 37}{space 5}-.0525205{col 51}{space 3} .0477254
{txt}(1 vs 0) 44  {c |}{col 14}{res}{space 2} -.004417{col 26}{space 2} .0263384{col 37}{space 5}-.0560971{col 51}{space 3} .0472631
{txt}(1 vs 0) 45  {c |}{col 14}{res}{space 2}-.0064364{col 26}{space 2} .0271663{col 37}{space 5}-.0597409{col 51}{space 3} .0468681
{txt}(1 vs 0) 46  {c |}{col 14}{res}{space 2}-.0084558{col 26}{space 2} .0280254{col 37}{space 5} -.063446{col 51}{space 3} .0465344
{txt}(1 vs 0) 47  {c |}{col 14}{res}{space 2}-.0104752{col 26}{space 2}  .028913{col 37}{space 5} -.067207{col 51}{space 3} .0462566
{txt}(1 vs 0) 48  {c |}{col 14}{res}{space 2}-.0124946{col 26}{space 2} .0298265{col 37}{space 5}-.0710188{col 51}{space 3} .0460296
{txt}(1 vs 0) 49  {c |}{col 14}{res}{space 2} -.014514{col 26}{space 2} .0307636{col 37}{space 5}-.0748771{col 51}{space 3}  .045849
{txt}(1 vs 0) 50  {c |}{col 14}{res}{space 2}-.0165334{col 26}{space 2} .0317223{col 37}{space 5}-.0787775{col 51}{space 3} .0457106
{txt}(1 vs 0) 51  {c |}{col 14}{res}{space 2}-.0185529{col 26}{space 2} .0327006{col 37}{space 5}-.0827164{col 51}{space 3} .0456107
{txt}(1 vs 0) 52  {c |}{col 14}{res}{space 2}-.0205723{col 26}{space 2} .0336968{col 37}{space 5}-.0866905{col 51}{space 3}  .045546
{txt}(1 vs 0) 53  {c |}{col 14}{res}{space 2}-.0225917{col 26}{space 2} .0347093{col 37}{space 5}-.0906968{col 51}{space 3} .0455134
{txt}(1 vs 0) 54  {c |}{col 14}{res}{space 2}-.0246111{col 26}{space 2} .0357369{col 37}{space 5}-.0947324{col 51}{space 3} .0455102
{txt}(1 vs 0) 55  {c |}{col 14}{res}{space 2}-.0266305{col 26}{space 2} .0367782{col 37}{space 5} -.098795{col 51}{space 3}  .045534
{txt}(1 vs 0) 56  {c |}{col 14}{res}{space 2}-.0286499{col 26}{space 2} .0378321{col 37}{space 5}-.1028823{col 51}{space 3} .0455825
{txt}(1 vs 0) 57  {c |}{col 14}{res}{space 2}-.0306693{col 26}{space 2} .0388975{col 37}{space 5}-.1069923{col 51}{space 3} .0456537
{txt}(1 vs 0) 58  {c |}{col 14}{res}{space 2}-.0326887{col 26}{space 2} .0399736{col 37}{space 5}-.1111232{col 51}{space 3} .0457458
{txt}(1 vs 0) 59  {c |}{col 14}{res}{space 2}-.0347081{col 26}{space 2} .0410596{col 37}{space 5}-.1152733{col 51}{space 3} .0458571
{txt}(1 vs 0) 60  {c |}{col 14}{res}{space 2}-.0367275{col 26}{space 2} .0421545{col 37}{space 5}-.1194412{col 51}{space 3} .0459862
{txt}(1 vs 0) 61  {c |}{col 14}{res}{space 2} -.038747{col 26}{space 2} .0432579{col 37}{space 5}-.1236256{col 51}{space 3} .0461316
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%25)) recastci(rarea) xlabel(1(1)7) ///
>         xlabel(1(1)7) xscale(r(1 7)) title("") ///
>         xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ytitle(" {c -(}&Delta{c )-}Pr of {c -(}it:Liking SD{c )-}" "(Contrasts between groups)") ///
>         ylabel(0(.1)0.4) graphregion(c(white)) ///
>         yline(0) scheme(s2mono) name(lpm_robust2, replace) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  xlabel(1(1)7) fcolor(gray%20)  ///
>         ytitle("Percentage of Observations", axis(2))lcolor(black%30) leg(off)  /// 
>         yscale(alt axis(2))) ylabel(0(.1)0.4) xlabel(1(1)7) xscale(r(1 7)) ///
>         note("(7.4)", position(11))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp}{p_end}
{res}{txt}
{com}. 
. drop if likesd_cont == 4                
{txt}(88 observations deleted)

{com}.         
. reg likesd2 i.high##c.mcp anti_immi left_right sex polint unemp edu

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,007
{txt}{hline 13}{c +}{hline 34}   F(9, 997)       = {res}    87.77
{txt}       Model {c |} {res} 73.4712839         9  8.16347598   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 92.7352703       997  .093014313   {txt}R-squared       ={res}    0.4420
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4370
{txt}       Total {c |} {res} 166.206554     1,006  .165215263   {txt}Root MSE        =   {res} .30498

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     likesd2{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.high {c |}{col 14}{res}{space 2} .1144944{col 26}{space 2} .0538617{col 37}{space 1}    2.13{col 46}{space 3}0.034{col 54}{space 4} .0087991{col 67}{space 3} .2201897
{txt}{space 9}mcp {c |}{col 14}{res}{space 2}-.0283949{col 26}{space 2} .0082468{col 37}{space 1}   -3.44{col 46}{space 3}0.001{col 54}{space 4} -.044578{col 67}{space 3}-.0122118
{txt}{space 12} {c |}
{space 2}high#c.mcp {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0213438{col 26}{space 2} .0125529{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-.0459769{col 67}{space 3} .0032892
{txt}{space 12} {c |}
{space 3}anti_immi {c |}{col 14}{res}{space 2} .1037339{col 26}{space 2} .0063101{col 37}{space 1}   16.44{col 46}{space 3}0.000{col 54}{space 4} .0913513{col 67}{space 3} .1161165
{txt}{space 2}left_right {c |}{col 14}{res}{space 2} .0252123{col 26}{space 2} .0073739{col 37}{space 1}    3.42{col 46}{space 3}0.001{col 54}{space 4} .0107423{col 67}{space 3} .0396824
{txt}{space 9}sex {c |}{col 14}{res}{space 2} .0356097{col 26}{space 2} .0204657{col 37}{space 1}    1.74{col 46}{space 3}0.082{col 54}{space 4} -.004551{col 67}{space 3} .0757704
{txt}{space 6}polint {c |}{col 14}{res}{space 2}-.0140539{col 26}{space 2} .0160031{col 37}{space 1}   -0.88{col 46}{space 3}0.380{col 54}{space 4}-.0454574{col 67}{space 3} .0173497
{txt}{space 7}unemp {c |}{col 14}{res}{space 2} .0180016{col 26}{space 2} .0200428{col 37}{space 1}    0.90{col 46}{space 3}0.369{col 54}{space 4}-.0213293{col 67}{space 3} .0573326
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-.0192165{col 26}{space 2} .0050773{col 37}{space 1}   -3.78{col 46}{space 3}0.000{col 54}{space 4}-.0291799{col 67}{space 3}-.0092531
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0778306{col 26}{space 2} .0685228{col 37}{space 1}   -1.14{col 46}{space 3}0.256{col 54}{space 4} -.212296{col 67}{space 3} .0566349
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins  high, at(mcp=(1(0.2)7)) 
{res}
{txt}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,007}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.2}}
{lalign 8:3._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.4}}
{lalign 8:4._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.6}}
{lalign 8:5._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.8}}
{lalign 8:6._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2}}
{lalign 8:7._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.2}}
{lalign 8:8._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.4}}
{lalign 8:9._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.6}}
{lalign 8:10._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.8}}
{lalign 8:11._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3}}
{lalign 8:12._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.2}}
{lalign 8:13._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.4}}
{lalign 8:14._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.6}}
{lalign 8:15._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.8}}
{lalign 8:16._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4}}
{lalign 8:17._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.2}}
{lalign 8:18._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.4}}
{lalign 8:19._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.6}}
{lalign 8:20._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.8}}
{lalign 8:21._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5}}
{lalign 8:22._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.2}}
{lalign 8:23._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.4}}
{lalign 8:24._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.6}}
{lalign 8:25._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.8}}
{lalign 8:26._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6}}
{lalign 8:27._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.2}}
{lalign 8:28._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.4}}
{lalign 8:29._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.6}}
{lalign 8:30._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.8}}
{lalign 8:31._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:7}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_at#high {c |}
{space 7} 1 0  {c |}{col 14}{res}{space 2} .2818318{col 26}{space 2} .0264006{col 37}{space 1}   10.68{col 46}{space 3}0.000{col 54}{space 4} .2300248{col 67}{space 3} .3336388
{txt}{space 7} 1 1  {c |}{col 14}{res}{space 2} .3749824{col 26}{space 2}  .036075{col 37}{space 1}   10.39{col 46}{space 3}0.000{col 54}{space 4} .3041908{col 67}{space 3}  .445774
{txt}{space 7} 2 0  {c |}{col 14}{res}{space 2} .2761528{col 26}{space 2} .0249406{col 37}{space 1}   11.07{col 46}{space 3}0.000{col 54}{space 4} .2272108{col 67}{space 3} .3250949
{txt}{space 7} 2 1  {c |}{col 14}{res}{space 2} .3650347{col 26}{space 2} .0342038{col 37}{space 1}   10.67{col 46}{space 3}0.000{col 54}{space 4} .2979149{col 67}{space 3} .4321544
{txt}{space 7} 3 0  {c |}{col 14}{res}{space 2} .2704739{col 26}{space 2} .0235057{col 37}{space 1}   11.51{col 46}{space 3}0.000{col 54}{space 4} .2243476{col 67}{space 3} .3166002
{txt}{space 7} 3 1  {c |}{col 14}{res}{space 2} .3550869{col 26}{space 2} .0323624{col 37}{space 1}   10.97{col 46}{space 3}0.000{col 54}{space 4} .2915806{col 67}{space 3} .4185932
{txt}{space 7} 4 0  {c |}{col 14}{res}{space 2} .2647949{col 26}{space 2} .0221007{col 37}{space 1}   11.98{col 46}{space 3}0.000{col 54}{space 4} .2214256{col 67}{space 3} .3081642
{txt}{space 7} 4 1  {c |}{col 14}{res}{space 2} .3451392{col 26}{space 2} .0305562{col 37}{space 1}   11.30{col 46}{space 3}0.000{col 54}{space 4} .2851774{col 67}{space 3}  .405101
{txt}{space 7} 5 0  {c |}{col 14}{res}{space 2} .2591159{col 26}{space 2} .0207318{col 37}{space 1}   12.50{col 46}{space 3}0.000{col 54}{space 4} .2184329{col 67}{space 3} .2997989
{txt}{space 7} 5 1  {c |}{col 14}{res}{space 2} .3351914{col 26}{space 2} .0287916{col 37}{space 1}   11.64{col 46}{space 3}0.000{col 54}{space 4} .2786922{col 67}{space 3} .3916906
{txt}{space 7} 6 0  {c |}{col 14}{res}{space 2} .2534369{col 26}{space 2} .0194066{col 37}{space 1}   13.06{col 46}{space 3}0.000{col 54}{space 4} .2153545{col 67}{space 3} .2915194
{txt}{space 7} 6 1  {c |}{col 14}{res}{space 2} .3252437{col 26}{space 2}  .027077{col 37}{space 1}   12.01{col 46}{space 3}0.000{col 54}{space 4} .2721092{col 67}{space 3} .3783782
{txt}{space 7} 7 0  {c |}{col 14}{res}{space 2}  .247758{col 26}{space 2} .0181346{col 37}{space 1}   13.66{col 46}{space 3}0.000{col 54}{space 4} .2121716{col 67}{space 3} .2833443
{txt}{space 7} 7 1  {c |}{col 14}{res}{space 2} .3152959{col 26}{space 2} .0254224{col 37}{space 1}   12.40{col 46}{space 3}0.000{col 54}{space 4} .2654084{col 67}{space 3} .3651834
{txt}{space 7} 8 0  {c |}{col 14}{res}{space 2}  .242079{col 26}{space 2} .0169278{col 37}{space 1}   14.30{col 46}{space 3}0.000{col 54}{space 4} .2088607{col 67}{space 3} .2752972
{txt}{space 7} 8 1  {c |}{col 14}{res}{space 2} .3053482{col 26}{space 2} .0238402{col 37}{space 1}   12.81{col 46}{space 3}0.000{col 54}{space 4} .2585654{col 67}{space 3}  .352131
{txt}{space 7} 9 0  {c |}{col 14}{res}{space 2}    .2364{col 26}{space 2} .0158013{col 37}{space 1}   14.96{col 46}{space 3}0.000{col 54}{space 4} .2053924{col 67}{space 3} .2674076
{txt}{space 7} 9 1  {c |}{col 14}{res}{space 2} .2954005{col 26}{space 2}  .022346{col 37}{space 1}   13.22{col 46}{space 3}0.000{col 54}{space 4} .2515499{col 67}{space 3}  .339251
{txt}{space 7}10 0  {c |}{col 14}{res}{space 2}  .230721{col 26}{space 2} .0147733{col 37}{space 1}   15.62{col 46}{space 3}0.000{col 54}{space 4} .2017307{col 67}{space 3} .2597114
{txt}{space 7}10 1  {c |}{col 14}{res}{space 2} .2854527{col 26}{space 2} .0209584{col 37}{space 1}   13.62{col 46}{space 3}0.000{col 54}{space 4} .2443251{col 67}{space 3} .3265804
{txt}{space 7}11 0  {c |}{col 14}{res}{space 2} .2250421{col 26}{space 2} .0138658{col 37}{space 1}   16.23{col 46}{space 3}0.000{col 54}{space 4} .1978325{col 67}{space 3} .2522516
{txt}{space 7}11 1  {c |}{col 14}{res}{space 2}  .275505{col 26}{space 2} .0197001{col 37}{space 1}   13.98{col 46}{space 3}0.000{col 54}{space 4} .2368466{col 67}{space 3} .3141634
{txt}{space 7}12 0  {c |}{col 14}{res}{space 2} .2193631{col 26}{space 2} .0131039{col 37}{space 1}   16.74{col 46}{space 3}0.000{col 54}{space 4} .1936487{col 67}{space 3} .2450775
{txt}{space 7}12 1  {c |}{col 14}{res}{space 2} .2655572{col 26}{space 2} .0185973{col 37}{space 1}   14.28{col 46}{space 3}0.000{col 54}{space 4} .2290629{col 67}{space 3} .3020516
{txt}{space 7}13 0  {c |}{col 14}{res}{space 2} .2136841{col 26}{space 2} .0125142{col 37}{space 1}   17.08{col 46}{space 3}0.000{col 54}{space 4} .1891269{col 67}{space 3} .2382413
{txt}{space 7}13 1  {c |}{col 14}{res}{space 2} .2556095{col 26}{space 2} .0176792{col 37}{space 1}   14.46{col 46}{space 3}0.000{col 54}{space 4} .2209169{col 67}{space 3} .2903021
{txt}{space 7}14 0  {c |}{col 14}{res}{space 2} .2080051{col 26}{space 2} .0121218{col 37}{space 1}   17.16{col 46}{space 3}0.000{col 54}{space 4}  .184218{col 67}{space 3} .2317923
{txt}{space 7}14 1  {c |}{col 14}{res}{space 2} .2456617{col 26}{space 2} .0169756{col 37}{space 1}   14.47{col 46}{space 3}0.000{col 54}{space 4} .2123497{col 67}{space 3} .2789738
{txt}{space 7}15 0  {c |}{col 14}{res}{space 2} .2023262{col 26}{space 2} .0119462{col 37}{space 1}   16.94{col 46}{space 3}0.000{col 54}{space 4} .1788835{col 67}{space 3} .2257688
{txt}{space 7}15 1  {c |}{col 14}{res}{space 2}  .235714{col 26}{space 2} .0165142{col 37}{space 1}   14.27{col 46}{space 3}0.000{col 54}{space 4} .2033075{col 67}{space 3} .2681205
{txt}{space 7}16 0  {c |}{col 14}{res}{space 2} .1966472{col 26}{space 2}  .011997{col 37}{space 1}   16.39{col 46}{space 3}0.000{col 54}{space 4}  .173105{col 67}{space 3} .2201894
{txt}{space 7}16 1  {c |}{col 14}{res}{space 2} .2257663{col 26}{space 2} .0163154{col 37}{space 1}   13.84{col 46}{space 3}0.000{col 54}{space 4} .1937499{col 67}{space 3} .2577826
{txt}{space 7}17 0  {c |}{col 14}{res}{space 2} .1909682{col 26}{space 2} .0122712{col 37}{space 1}   15.56{col 46}{space 3}0.000{col 54}{space 4} .1668879{col 67}{space 3} .2150486
{txt}{space 7}17 1  {c |}{col 14}{res}{space 2} .2158185{col 26}{space 2} .0163887{col 37}{space 1}   13.17{col 46}{space 3}0.000{col 54}{space 4} .1836582{col 67}{space 3} .2479789
{txt}{space 7}18 0  {c |}{col 14}{res}{space 2} .1852892{col 26}{space 2} .0127546{col 37}{space 1}   14.53{col 46}{space 3}0.000{col 54}{space 4} .1602604{col 67}{space 3} .2103181
{txt}{space 7}18 1  {c |}{col 14}{res}{space 2} .2058708{col 26}{space 2} .0167307{col 37}{space 1}   12.30{col 46}{space 3}0.000{col 54}{space 4} .1730393{col 67}{space 3} .2387022
{txt}{space 7}19 0  {c |}{col 14}{res}{space 2} .1796103{col 26}{space 2} .0134244{col 37}{space 1}   13.38{col 46}{space 3}0.000{col 54}{space 4} .1532669{col 67}{space 3} .2059537
{txt}{space 7}19 1  {c |}{col 14}{res}{space 2}  .195923{col 26}{space 2} .0173254{col 37}{space 1}   11.31{col 46}{space 3}0.000{col 54}{space 4} .1619246{col 67}{space 3} .2299215
{txt}{space 7}20 0  {c |}{col 14}{res}{space 2} .1739313{col 26}{space 2} .0142546{col 37}{space 1}   12.20{col 46}{space 3}0.000{col 54}{space 4} .1459588{col 67}{space 3} .2019037
{txt}{space 7}20 1  {c |}{col 14}{res}{space 2} .1859753{col 26}{space 2}  .018148{col 37}{space 1}   10.25{col 46}{space 3}0.000{col 54}{space 4} .1503627{col 67}{space 3} .2215879
{txt}{space 7}21 0  {c |}{col 14}{res}{space 2} .1682523{col 26}{space 2} .0152188{col 37}{space 1}   11.06{col 46}{space 3}0.000{col 54}{space 4} .1383877{col 67}{space 3} .1981169
{txt}{space 7}21 1  {c |}{col 14}{res}{space 2} .1760275{col 26}{space 2} .0191691{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1384111{col 67}{space 3}  .213644
{txt}{space 7}22 0  {c |}{col 14}{res}{space 2} .1625733{col 26}{space 2} .0162933{col 37}{space 1}    9.98{col 46}{space 3}0.000{col 54}{space 4} .1306003{col 67}{space 3} .1945464
{txt}{space 7}22 1  {c |}{col 14}{res}{space 2} .1660798{col 26}{space 2}  .020359{col 37}{space 1}    8.16{col 46}{space 3}0.000{col 54}{space 4} .1261284{col 67}{space 3} .2060312
{txt}{space 7}23 0  {c |}{col 14}{res}{space 2} .1568944{col 26}{space 2} .0174577{col 37}{space 1}    8.99{col 46}{space 3}0.000{col 54}{space 4} .1226363{col 67}{space 3} .1911525
{txt}{space 7}23 1  {c |}{col 14}{res}{space 2}  .156132{col 26}{space 2} .0216898{col 37}{space 1}    7.20{col 46}{space 3}0.000{col 54}{space 4} .1135691{col 67}{space 3}  .198695
{txt}{space 7}24 0  {c |}{col 14}{res}{space 2} .1512154{col 26}{space 2} .0186953{col 37}{space 1}    8.09{col 46}{space 3}0.000{col 54}{space 4} .1145288{col 67}{space 3}  .187902
{txt}{space 7}24 1  {c |}{col 14}{res}{space 2} .1461843{col 26}{space 2} .0231373{col 37}{space 1}    6.32{col 46}{space 3}0.000{col 54}{space 4} .1007809{col 67}{space 3} .1915877
{txt}{space 7}25 0  {c |}{col 14}{res}{space 2} .1455364{col 26}{space 2} .0199924{col 37}{space 1}    7.28{col 46}{space 3}0.000{col 54}{space 4} .1063045{col 67}{space 3} .1847684
{txt}{space 7}25 1  {c |}{col 14}{res}{space 2} .1362366{col 26}{space 2} .0246809{col 37}{space 1}    5.52{col 46}{space 3}0.000{col 54}{space 4}  .087804{col 67}{space 3} .1846691
{txt}{space 7}26 0  {c |}{col 14}{res}{space 2} .1398574{col 26}{space 2} .0213382{col 37}{space 1}    6.55{col 46}{space 3}0.000{col 54}{space 4} .0979846{col 67}{space 3} .1817303
{txt}{space 7}26 1  {c |}{col 14}{res}{space 2} .1262888{col 26}{space 2} .0263038{col 37}{space 1}    4.80{col 46}{space 3}0.000{col 54}{space 4} .0746717{col 67}{space 3} .1779059
{txt}{space 7}27 0  {c |}{col 14}{res}{space 2} .1341785{col 26}{space 2}  .022724{col 37}{space 1}    5.90{col 46}{space 3}0.000{col 54}{space 4} .0895861{col 67}{space 3} .1787709
{txt}{space 7}27 1  {c |}{col 14}{res}{space 2} .1163411{col 26}{space 2}  .027992{col 37}{space 1}    4.16{col 46}{space 3}0.000{col 54}{space 4}  .061411{col 67}{space 3} .1712712
{txt}{space 7}28 0  {c |}{col 14}{res}{space 2} .1284995{col 26}{space 2}  .024143{col 37}{space 1}    5.32{col 46}{space 3}0.000{col 54}{space 4} .0811225{col 67}{space 3} .1758764
{txt}{space 7}28 1  {c |}{col 14}{res}{space 2} .1063933{col 26}{space 2} .0297346{col 37}{space 1}    3.58{col 46}{space 3}0.000{col 54}{space 4} .0480437{col 67}{space 3} .1647429
{txt}{space 7}29 0  {c |}{col 14}{res}{space 2} .1228205{col 26}{space 2} .0255896{col 37}{space 1}    4.80{col 46}{space 3}0.000{col 54}{space 4} .0726048{col 67}{space 3} .1730363
{txt}{space 7}29 1  {c |}{col 14}{res}{space 2} .0964456{col 26}{space 2} .0315225{col 37}{space 1}    3.06{col 46}{space 3}0.002{col 54}{space 4} .0345876{col 67}{space 3} .1583036
{txt}{space 7}30 0  {c |}{col 14}{res}{space 2} .1171415{col 26}{space 2} .0270595{col 37}{space 1}    4.33{col 46}{space 3}0.000{col 54}{space 4} .0640415{col 67}{space 3} .1702416
{txt}{space 7}30 1  {c |}{col 14}{res}{space 2} .0864978{col 26}{space 2} .0333484{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} .0210568{col 67}{space 3} .1519389
{txt}{space 7}31 0  {c |}{col 14}{res}{space 2} .1114626{col 26}{space 2} .0285489{col 37}{space 1}    3.90{col 46}{space 3}0.000{col 54}{space 4} .0554397{col 67}{space 3} .1674855
{txt}{space 7}31 1  {c |}{col 14}{res}{space 2} .0765501{col 26}{space 2} .0352064{col 37}{space 1}    2.17{col 46}{space 3}0.030{col 54}{space 4} .0074631{col 67}{space 3} .1456372
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%25)) recastci(rarea) ///
>         xlabel(1(1)7) xscale(r(1 7)) title("") ///
>         xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ytitle("Pr - {c -(}it:Liking SD{c )-}")  ylabel(0(.1)0.4) graphregion(c(white)) ///
>         yline(0) scheme(s2mono) name(lpm_robust5, replace) plot2opts(lpattern(longdash)) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  xlabel(1(1)7) fcolor(gray%20)  ///
>         ytitle("Percentage of Observations", axis(2))lcolor(black%30) leg(off)  /// 
>         yscale(alt axis(2))) ylabel(0(.1)0.4) xlabel(1(1)7) xscale(r(1 7)) ///
>         note("(7.5)", position(11))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp high}{p_end}
{res}{txt}
{com}. 
. reg likesd2 i.high##c.mcp anti_immi left_right sex polint unemp edu

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,007
{txt}{hline 13}{c +}{hline 34}   F(9, 997)       = {res}    87.77
{txt}       Model {c |} {res} 73.4712839         9  8.16347598   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 92.7352703       997  .093014313   {txt}R-squared       ={res}    0.4420
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4370
{txt}       Total {c |} {res} 166.206554     1,006  .165215263   {txt}Root MSE        =   {res} .30498

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     likesd2{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.high {c |}{col 14}{res}{space 2} .1144944{col 26}{space 2} .0538617{col 37}{space 1}    2.13{col 46}{space 3}0.034{col 54}{space 4} .0087991{col 67}{space 3} .2201897
{txt}{space 9}mcp {c |}{col 14}{res}{space 2}-.0283949{col 26}{space 2} .0082468{col 37}{space 1}   -3.44{col 46}{space 3}0.001{col 54}{space 4} -.044578{col 67}{space 3}-.0122118
{txt}{space 12} {c |}
{space 2}high#c.mcp {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0213438{col 26}{space 2} .0125529{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-.0459769{col 67}{space 3} .0032892
{txt}{space 12} {c |}
{space 3}anti_immi {c |}{col 14}{res}{space 2} .1037339{col 26}{space 2} .0063101{col 37}{space 1}   16.44{col 46}{space 3}0.000{col 54}{space 4} .0913513{col 67}{space 3} .1161165
{txt}{space 2}left_right {c |}{col 14}{res}{space 2} .0252123{col 26}{space 2} .0073739{col 37}{space 1}    3.42{col 46}{space 3}0.001{col 54}{space 4} .0107423{col 67}{space 3} .0396824
{txt}{space 9}sex {c |}{col 14}{res}{space 2} .0356097{col 26}{space 2} .0204657{col 37}{space 1}    1.74{col 46}{space 3}0.082{col 54}{space 4} -.004551{col 67}{space 3} .0757704
{txt}{space 6}polint {c |}{col 14}{res}{space 2}-.0140539{col 26}{space 2} .0160031{col 37}{space 1}   -0.88{col 46}{space 3}0.380{col 54}{space 4}-.0454574{col 67}{space 3} .0173497
{txt}{space 7}unemp {c |}{col 14}{res}{space 2} .0180016{col 26}{space 2} .0200428{col 37}{space 1}    0.90{col 46}{space 3}0.369{col 54}{space 4}-.0213293{col 67}{space 3} .0573326
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-.0192165{col 26}{space 2} .0050773{col 37}{space 1}   -3.78{col 46}{space 3}0.000{col 54}{space 4}-.0291799{col 67}{space 3}-.0092531
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0778306{col 26}{space 2} .0685228{col 37}{space 1}   -1.14{col 46}{space 3}0.256{col 54}{space 4} -.212296{col 67}{space 3} .0566349
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins r.high, at(mcp=(1(0.1)7))
{res}
{txt}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,007}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.1}}
{lalign 8:3._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.2}}
{lalign 8:4._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.3}}
{lalign 8:5._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.4}}
{lalign 8:6._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.5}}
{lalign 8:7._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.6}}
{lalign 8:8._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.7}}
{lalign 8:9._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.8}}
{lalign 8:10._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.9}}
{lalign 8:11._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2}}
{lalign 8:12._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.1}}
{lalign 8:13._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.2}}
{lalign 8:14._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.3}}
{lalign 8:15._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.4}}
{lalign 8:16._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.5}}
{lalign 8:17._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.6}}
{lalign 8:18._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.7}}
{lalign 8:19._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.8}}
{lalign 8:20._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.9}}
{lalign 8:21._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3}}
{lalign 8:22._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.1}}
{lalign 8:23._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.2}}
{lalign 8:24._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.3}}
{lalign 8:25._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.4}}
{lalign 8:26._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.5}}
{lalign 8:27._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.6}}
{lalign 8:28._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.7}}
{lalign 8:29._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.8}}
{lalign 8:30._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.9}}
{lalign 8:31._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4}}
{lalign 8:32._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.1}}
{lalign 8:33._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.2}}
{lalign 8:34._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.3}}
{lalign 8:35._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.4}}
{lalign 8:36._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.5}}
{lalign 8:37._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.6}}
{lalign 8:38._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.7}}
{lalign 8:39._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.8}}
{lalign 8:40._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.9}}
{lalign 8:41._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5}}
{lalign 8:42._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.1}}
{lalign 8:43._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.2}}
{lalign 8:44._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.3}}
{lalign 8:45._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.4}}
{lalign 8:46._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.5}}
{lalign 8:47._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.6}}
{lalign 8:48._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.7}}
{lalign 8:49._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.8}}
{lalign 8:50._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.9}}
{lalign 8:51._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6}}
{lalign 8:52._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.1}}
{lalign 8:53._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.2}}
{lalign 8:54._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.3}}
{lalign 8:55._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.4}}
{lalign 8:56._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.5}}
{lalign 8:57._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.6}}
{lalign 8:58._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.7}}
{lalign 8:59._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.8}}
{lalign 8:60._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.9}}
{lalign 8:61._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:7}}

{res}{col 1}{text}{hline 13}{c TT}{hline 11}{hline 12}{hline 11}
{col 14}{text}{c |}         df{col 26}           F{col 38}        P>F
{res}{col 1}{text}{hline 13}{c +}{hline 11}{hline 12}{hline 11}
{space 4}high@_at {c |}
(1 vs 0)  1  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.80{col 38}{space 2}   0.0286
{txt}(1 vs 0)  2  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.83{col 38}{space 2}   0.0281
{txt}(1 vs 0)  3  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.86{col 38}{space 2}   0.0277
{txt}(1 vs 0)  4  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.89{col 38}{space 2}   0.0272
{txt}(1 vs 0)  5  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.92{col 38}{space 2}   0.0268
{txt}(1 vs 0)  6  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.94{col 38}{space 2}   0.0264
{txt}(1 vs 0)  7  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.96{col 38}{space 2}   0.0261
{txt}(1 vs 0)  8  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.98{col 38}{space 2}   0.0258
{txt}(1 vs 0)  9  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     5.00{col 38}{space 2}   0.0255
{txt}(1 vs 0) 10  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     5.02{col 38}{space 2}   0.0253
{txt}(1 vs 0) 11  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     5.02{col 38}{space 2}   0.0252
{txt}(1 vs 0) 12  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     5.03{col 38}{space 2}   0.0252
{txt}(1 vs 0) 13  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     5.02{col 38}{space 2}   0.0252
{txt}(1 vs 0) 14  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     5.01{col 38}{space 2}   0.0254
{txt}(1 vs 0) 15  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.99{col 38}{space 2}   0.0257
{txt}(1 vs 0) 16  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.95{col 38}{space 2}   0.0263
{txt}(1 vs 0) 17  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.91{col 38}{space 2}   0.0270
{txt}(1 vs 0) 18  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.84{col 38}{space 2}   0.0280
{txt}(1 vs 0) 19  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.76{col 38}{space 2}   0.0294
{txt}(1 vs 0) 20  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.66{col 38}{space 2}   0.0311
{txt}(1 vs 0) 21  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.54{col 38}{space 2}   0.0335
{txt}(1 vs 0) 22  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.39{col 38}{space 2}   0.0365
{txt}(1 vs 0) 23  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.21{col 38}{space 2}   0.0404
{txt}(1 vs 0) 24  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.01{col 38}{space 2}   0.0454
{txt}(1 vs 0) 25  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.79{col 38}{space 2}   0.0519
{txt}(1 vs 0) 26  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.54{col 38}{space 2}   0.0602
{txt}(1 vs 0) 27  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.27{col 38}{space 2}   0.0710
{txt}(1 vs 0) 28  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     2.98{col 38}{space 2}   0.0847
{txt}(1 vs 0) 29  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     2.68{col 38}{space 2}   0.1022
{txt}(1 vs 0) 30  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     2.37{col 38}{space 2}   0.1243
{txt}(1 vs 0) 31  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     2.06{col 38}{space 2}   0.1517
{txt}(1 vs 0) 32  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.76{col 38}{space 2}   0.1852
{txt}(1 vs 0) 33  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.47{col 38}{space 2}   0.2255
{txt}(1 vs 0) 34  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.20{col 38}{space 2}   0.2728
{txt}(1 vs 0) 35  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.96{col 38}{space 2}   0.3269
{txt}(1 vs 0) 36  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.75{col 38}{space 2}   0.3875
{txt}(1 vs 0) 37  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.56{col 38}{space 2}   0.4536
{txt}(1 vs 0) 38  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.41{col 38}{space 2}   0.5240
{txt}(1 vs 0) 39  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.28{col 38}{space 2}   0.5972
{txt}(1 vs 0) 40  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.18{col 38}{space 2}   0.6718
{txt}(1 vs 0) 41  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.10{col 38}{space 2}   0.7464
{txt}(1 vs 0) 42  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.05{col 38}{space 2}   0.8196
{txt}(1 vs 0) 43  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.02{col 38}{space 2}   0.8905
{txt}(1 vs 0) 44  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.00{col 38}{space 2}   0.9583
{txt}(1 vs 0) 45  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.00{col 38}{space 2}   0.9775
{txt}(1 vs 0) 46  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.01{col 38}{space 2}   0.9173
{txt}(1 vs 0) 47  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.03{col 38}{space 2}   0.8613
{txt}(1 vs 0) 48  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.06{col 38}{space 2}   0.8093
{txt}(1 vs 0) 49  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.09{col 38}{space 2}   0.7613
{txt}(1 vs 0) 50  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.13{col 38}{space 2}   0.7172
{txt}(1 vs 0) 51  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.17{col 38}{space 2}   0.6767
{txt}(1 vs 0) 52  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.22{col 38}{space 2}   0.6396
{txt}(1 vs 0) 53  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.27{col 38}{space 2}   0.6056
{txt}(1 vs 0) 54  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.32{col 38}{space 2}   0.5744
{txt}(1 vs 0) 55  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.37{col 38}{space 2}   0.5459
{txt}(1 vs 0) 56  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.41{col 38}{space 2}   0.5197
{txt}(1 vs 0) 57  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.46{col 38}{space 2}   0.4957
{txt}(1 vs 0) 58  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.51{col 38}{space 2}   0.4737
{txt}(1 vs 0) 59  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.56{col 38}{space 2}   0.4535
{txt}(1 vs 0) 60  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.61{col 38}{space 2}   0.4349
{txt}(1 vs 0) 61  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.66{col 38}{space 2}   0.4177
{col 1}{text}      Joint {col 14}{c |}{result}{space 2}        2{col 26}{space 3}     2.51{col 38}{space 2}   0.0815
{col 14}{text}{c |}
{res}{col 1}{text} Denominator{col 14}{c |}{result}{space 2}      997
{col 1}{text}{hline 13}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}   Contrast{col 26}   std. err.{col 38}     [95% con{col 51}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 4}high@_at {c |}
(1 vs 0)  1  {c |}{col 14}{res}{space 2} .0931506{col 26}{space 2} .0424979{col 37}{space 5} .0097549{col 51}{space 3} .1765463
{txt}(1 vs 0)  2  {c |}{col 14}{res}{space 2} .0910162{col 26}{space 2} .0413994{col 37}{space 5} .0097763{col 51}{space 3} .1722561
{txt}(1 vs 0)  3  {c |}{col 14}{res}{space 2} .0888818{col 26}{space 2} .0403099{col 37}{space 5} .0097798{col 51}{space 3} .1679839
{txt}(1 vs 0)  4  {c |}{col 14}{res}{space 2} .0867474{col 26}{space 2} .0392304{col 37}{space 5} .0097637{col 51}{space 3} .1637312
{txt}(1 vs 0)  5  {c |}{col 14}{res}{space 2} .0846131{col 26}{space 2} .0381617{col 37}{space 5} .0097266{col 51}{space 3} .1594995
{txt}(1 vs 0)  6  {c |}{col 14}{res}{space 2} .0824787{col 26}{space 2} .0371046{col 37}{space 5} .0096666{col 51}{space 3} .1552908
{txt}(1 vs 0)  7  {c |}{col 14}{res}{space 2} .0803443{col 26}{space 2} .0360603{col 37}{space 5} .0095816{col 51}{space 3}  .151107
{txt}(1 vs 0)  8  {c |}{col 14}{res}{space 2} .0782099{col 26}{space 2} .0350298{col 37}{space 5} .0094694{col 51}{space 3} .1469504
{txt}(1 vs 0)  9  {c |}{col 14}{res}{space 2} .0760755{col 26}{space 2} .0340144{col 37}{space 5} .0093276{col 51}{space 3} .1428235
{txt}(1 vs 0) 10  {c |}{col 14}{res}{space 2} .0739411{col 26}{space 2} .0330155{col 37}{space 5} .0091534{col 51}{space 3} .1387289
{txt}(1 vs 0) 11  {c |}{col 14}{res}{space 2} .0718068{col 26}{space 2} .0320346{col 37}{space 5} .0089437{col 51}{space 3} .1346698
{txt}(1 vs 0) 12  {c |}{col 14}{res}{space 2} .0696724{col 26}{space 2} .0310735{col 37}{space 5} .0086953{col 51}{space 3} .1306494
{txt}(1 vs 0) 13  {c |}{col 14}{res}{space 2}  .067538{col 26}{space 2} .0301341{col 37}{space 5} .0084045{col 51}{space 3} .1266715
{txt}(1 vs 0) 14  {c |}{col 14}{res}{space 2} .0654036{col 26}{space 2} .0292184{col 37}{space 5}  .008067{col 51}{space 3} .1227402
{txt}(1 vs 0) 15  {c |}{col 14}{res}{space 2} .0632692{col 26}{space 2} .0283287{col 37}{space 5} .0076785{col 51}{space 3} .1188599
{txt}(1 vs 0) 16  {c |}{col 14}{res}{space 2} .0611348{col 26}{space 2} .0274676{col 37}{space 5} .0072339{col 51}{space 3} .1150357
{txt}(1 vs 0) 17  {c |}{col 14}{res}{space 2} .0590005{col 26}{space 2} .0266378{col 37}{space 5} .0067278{col 51}{space 3} .1112731
{txt}(1 vs 0) 18  {c |}{col 14}{res}{space 2} .0568661{col 26}{space 2} .0258424{col 37}{space 5} .0061543{col 51}{space 3} .1075778
{txt}(1 vs 0) 19  {c |}{col 14}{res}{space 2} .0547317{col 26}{space 2} .0250846{col 37}{space 5}  .005507{col 51}{space 3} .1039563
{txt}(1 vs 0) 20  {c |}{col 14}{res}{space 2} .0525973{col 26}{space 2} .0243679{col 37}{space 5}  .004779{col 51}{space 3} .1004156
{txt}(1 vs 0) 21  {c |}{col 14}{res}{space 2} .0504629{col 26}{space 2} .0236961{col 37}{space 5} .0039629{col 51}{space 3} .0969629
{txt}(1 vs 0) 22  {c |}{col 14}{res}{space 2} .0483285{col 26}{space 2} .0230731{col 37}{space 5} .0030511{col 51}{space 3}  .093606
{txt}(1 vs 0) 23  {c |}{col 14}{res}{space 2} .0461941{col 26}{space 2}  .022503{col 37}{space 5} .0020356{col 51}{space 3} .0903527
{txt}(1 vs 0) 24  {c |}{col 14}{res}{space 2} .0440598{col 26}{space 2} .0219897{col 37}{space 5} .0009083{col 51}{space 3} .0872112
{txt}(1 vs 0) 25  {c |}{col 14}{res}{space 2} .0419254{col 26}{space 2} .0215375{col 37}{space 5}-.0003387{col 51}{space 3} .0841894
{txt}(1 vs 0) 26  {c |}{col 14}{res}{space 2}  .039791{col 26}{space 2} .0211502{col 37}{space 5}-.0017131{col 51}{space 3} .0812951
{txt}(1 vs 0) 27  {c |}{col 14}{res}{space 2} .0376566{col 26}{space 2} .0208315{col 37}{space 5}-.0032221{col 51}{space 3} .0785353
{txt}(1 vs 0) 28  {c |}{col 14}{res}{space 2} .0355222{col 26}{space 2} .0205845{col 37}{space 5}-.0048718{col 51}{space 3} .0759162
{txt}(1 vs 0) 29  {c |}{col 14}{res}{space 2} .0333878{col 26}{space 2} .0204119{col 37}{space 5}-.0066674{col 51}{space 3} .0734431
{txt}(1 vs 0) 30  {c |}{col 14}{res}{space 2} .0312535{col 26}{space 2} .0203155{col 37}{space 5}-.0086126{col 51}{space 3} .0711195
{txt}(1 vs 0) 31  {c |}{col 14}{res}{space 2} .0291191{col 26}{space 2} .0202964{col 37}{space 5}-.0107096{col 51}{space 3} .0689477
{txt}(1 vs 0) 32  {c |}{col 14}{res}{space 2} .0269847{col 26}{space 2} .0203549{col 37}{space 5}-.0129587{col 51}{space 3} .0669281
{txt}(1 vs 0) 33  {c |}{col 14}{res}{space 2} .0248503{col 26}{space 2} .0204903{col 37}{space 5}-.0153587{col 51}{space 3} .0650593
{txt}(1 vs 0) 34  {c |}{col 14}{res}{space 2} .0227159{col 26}{space 2}  .020701{col 37}{space 5}-.0179066{col 51}{space 3} .0633384
{txt}(1 vs 0) 35  {c |}{col 14}{res}{space 2} .0205815{col 26}{space 2} .0209848{col 37}{space 5} -.020598{col 51}{space 3}  .061761
{txt}(1 vs 0) 36  {c |}{col 14}{res}{space 2} .0184471{col 26}{space 2} .0213388{col 37}{space 5} -.023427{col 51}{space 3} .0603213
{txt}(1 vs 0) 37  {c |}{col 14}{res}{space 2} .0163128{col 26}{space 2} .0217596{col 37}{space 5}-.0263871{col 51}{space 3} .0590126
{txt}(1 vs 0) 38  {c |}{col 14}{res}{space 2} .0141784{col 26}{space 2} .0222433{col 37}{space 5}-.0294708{col 51}{space 3} .0578275
{txt}(1 vs 0) 39  {c |}{col 14}{res}{space 2}  .012044{col 26}{space 2}  .022786{col 37}{space 5}-.0326701{col 51}{space 3} .0567581
{txt}(1 vs 0) 40  {c |}{col 14}{res}{space 2} .0099096{col 26}{space 2} .0233836{col 37}{space 5}-.0359771{col 51}{space 3} .0557963
{txt}(1 vs 0) 41  {c |}{col 14}{res}{space 2} .0077752{col 26}{space 2} .0240319{col 37}{space 5}-.0393837{col 51}{space 3} .0549342
{txt}(1 vs 0) 42  {c |}{col 14}{res}{space 2} .0056408{col 26}{space 2}  .024727{col 37}{space 5}-.0428821{col 51}{space 3} .0541638
{txt}(1 vs 0) 43  {c |}{col 14}{res}{space 2} .0035065{col 26}{space 2}  .025465{col 37}{space 5}-.0464648{col 51}{space 3} .0534777
{txt}(1 vs 0) 44  {c |}{col 14}{res}{space 2} .0013721{col 26}{space 2} .0262424{col 37}{space 5}-.0501246{col 51}{space 3} .0528688
{txt}(1 vs 0) 45  {c |}{col 14}{res}{space 2}-.0007623{col 26}{space 2} .0270557{col 37}{space 5}-.0538549{col 51}{space 3} .0523303
{txt}(1 vs 0) 46  {c |}{col 14}{res}{space 2}-.0028967{col 26}{space 2} .0279018{col 37}{space 5}-.0576496{col 51}{space 3} .0518562
{txt}(1 vs 0) 47  {c |}{col 14}{res}{space 2}-.0050311{col 26}{space 2} .0287777{col 37}{space 5}-.0615029{col 51}{space 3} .0514408
{txt}(1 vs 0) 48  {c |}{col 14}{res}{space 2}-.0071655{col 26}{space 2} .0296809{col 37}{space 5}-.0654097{col 51}{space 3} .0510788
{txt}(1 vs 0) 49  {c |}{col 14}{res}{space 2}-.0092999{col 26}{space 2}  .030609{col 37}{space 5}-.0693653{col 51}{space 3} .0507656
{txt}(1 vs 0) 50  {c |}{col 14}{res}{space 2}-.0114342{col 26}{space 2} .0315597{col 37}{space 5}-.0733653{col 51}{space 3} .0504968
{txt}(1 vs 0) 51  {c |}{col 14}{res}{space 2}-.0135686{col 26}{space 2} .0325311{col 37}{space 5}-.0774058{col 51}{space 3} .0502686
{txt}(1 vs 0) 52  {c |}{col 14}{res}{space 2} -.015703{col 26}{space 2} .0335213{col 37}{space 5}-.0814834{col 51}{space 3} .0500774
{txt}(1 vs 0) 53  {c |}{col 14}{res}{space 2}-.0178374{col 26}{space 2} .0345288{col 37}{space 5}-.0855948{col 51}{space 3}   .04992
{txt}(1 vs 0) 54  {c |}{col 14}{res}{space 2}-.0199718{col 26}{space 2}  .035552{col 37}{space 5}-.0897371{col 51}{space 3} .0497936
{txt}(1 vs 0) 55  {c |}{col 14}{res}{space 2}-.0221062{col 26}{space 2} .0365897{col 37}{space 5}-.0939078{col 51}{space 3} .0496955
{txt}(1 vs 0) 56  {c |}{col 14}{res}{space 2}-.0242405{col 26}{space 2} .0376407{col 37}{space 5}-.0981045{col 51}{space 3} .0496235
{txt}(1 vs 0) 57  {c |}{col 14}{res}{space 2}-.0263749{col 26}{space 2} .0387038{col 37}{space 5}-.1023251{col 51}{space 3} .0495753
{txt}(1 vs 0) 58  {c |}{col 14}{res}{space 2}-.0285093{col 26}{space 2} .0397781{col 37}{space 5}-.1065677{col 51}{space 3} .0495491
{txt}(1 vs 0) 59  {c |}{col 14}{res}{space 2}-.0306437{col 26}{space 2} .0408628{col 37}{space 5}-.1108306{col 51}{space 3} .0495432
{txt}(1 vs 0) 60  {c |}{col 14}{res}{space 2}-.0327781{col 26}{space 2} .0419569{col 37}{space 5}-.1151121{col 51}{space 3}  .049556
{txt}(1 vs 0) 61  {c |}{col 14}{res}{space 2}-.0349125{col 26}{space 2} .0430599{col 37}{space 5}-.1194109{col 51}{space 3}  .049586
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%25)) recastci(rarea) xlabel(1(1)7) ///
>         xlabel(1(1)7) xscale(r(1 7)) title("") ///
>         xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ytitle(" {c -(}&Delta{c )-}Pr of {c -(}it:Liking SD{c )-}" "(Contrasts between groups)") ///
>         ylabel(0(.1)0.4) graphregion(c(white)) ///
>         yline(0) scheme(s2mono) name(lpm_robust6, replace) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  xlabel(1(1)7) fcolor(gray%20)  ///
>         ytitle("Percentage of Observations", axis(2))lcolor(black%30) leg(off)  /// 
>         yscale(alt axis(2))) ylabel(0(.1)0.4) xlabel(1(1)7) xscale(r(1 7)) ///
>         note("(7.6)", position(11))     
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp}{p_end}
{res}{txt}
{com}. 
. graph combine  lpm_robust3 lpm_robust4 lpm_robust1 lpm_robust2 lpm_robust5 lpm_robust6,  col(2) row(6) ysize(2) xsize(2) ///
>         graphregion(margin(zero)) scale (0.8) name(fig7, replace)       
{res}{txt}
{com}.         
. 
. graph save fig7 "fig7.gph", replace
{res}{txt}file {bf:fig7.gph} saved

{com}. graph export fig7.tif, replace 
{txt}{p 0 4 2}
file {bf}
fig7.tif{rm}
saved as
TIFF
format
{p_end}

{com}. 
. 
. use "Replication Data - Ekholm, Bäck & Renström (2021) - Sympathizing with the Radical Right.dta", clear
{txt}
{com}. 
. 
. eststo: quietly regress likesd3 anti_immi high mcp left_right sex polint unemp edu i.high#c.mcp 
{txt}({res}est1{txt} stored)

{com}. eststo: quietly regress likesd2 anti_immi high mcp left_right sex polint unemp edu i.high#c.mcp 
{txt}({res}est2{txt} stored)

{com}. 
. drop if likesd_cont == 4                
{txt}(88 observations deleted)

{com}. 
. eststo: quietly regress likesd2 anti_immi high mcp left_right sex polint unemp edu i.high#c.mcp 
{txt}({res}est3{txt} stored)

{com}. esttab using a3.rtf, replace se label title(Linear Probability Model(LPM))  
{res}{txt}{p 0 4 2}
(file {bf}
a3.rtf{rm}
not found)
{p_end}
(output written to {browse  `"a3.rtf"'})

{com}. eststo clear
{txt}
{com}. 
. use "Replication Data - Ekholm, Bäck & Renström (2021) - Sympathizing with the Radical Right.dta", clear
{txt}
{com}.  
. ** A4 - Logit Model (Robustness Check)**
. 
. eststo: quietly logit likesd high mcp anti_immi left_right sex polint unemp edu
{txt}({res}est1{txt} stored)

{com}. eststo: quietly logit likesd anti_immi high mcp left_right sex polint unemp edu i.high#c.mcp 
{txt}({res}est2{txt} stored)

{com}. esttab using logit.rtf, replace se label title(Logit Model(Logit)\label{c -(}tab1{c )-})  
{res}{txt}{p 0 4 2}
(file {bf}
logit.rtf{rm}
not found)
{p_end}
(output written to {browse  `"logit.rtf"'})

{com}. eststo clear
{txt}
{com}. 
. logit likesd i.high##c.mcp anti_immi left_right sex polint unemp edu

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-439.09125}  
Iteration 1:{space 3}log likelihood = {res:-292.71508}  
Iteration 2:{space 3}log likelihood = {res:-241.73825}  
Iteration 3:{space 3}log likelihood = {res:-235.81472}  
Iteration 4:{space 3}log likelihood = {res:-235.72536}  
Iteration 5:{space 3}log likelihood = {res:-235.72535}  
{res}
{txt}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,094}
{txt}{col 57}{lalign 13:LR chi2({res:9})}{col 70} = {res}{ralign 6:406.73}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}Log likelihood = {res:-235.72535}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.4632}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      likesd{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.high {c |}{col 14}{res}{space 2} 1.357492{col 26}{space 2} .6015927{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .1783915{col 67}{space 3} 2.536592
{txt}{space 9}mcp {c |}{col 14}{res}{space 2}-.3141057{col 26}{space 2} .1146304{col 37}{space 1}   -2.74{col 46}{space 3}0.006{col 54}{space 4}-.5387771{col 67}{space 3}-.0894344
{txt}{space 12} {c |}
{space 2}high#c.mcp {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2486512{col 26}{space 2} .1918963{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.6247611{col 67}{space 3} .1274587
{txt}{space 12} {c |}
{space 3}anti_immi {c |}{col 14}{res}{space 2} .9348181{col 26}{space 2} .1080213{col 37}{space 1}    8.65{col 46}{space 3}0.000{col 54}{space 4} .7231003{col 67}{space 3} 1.146536
{txt}{space 2}left_right {c |}{col 14}{res}{space 2} .5132851{col 26}{space 2} .1018183{col 37}{space 1}    5.04{col 46}{space 3}0.000{col 54}{space 4} .3137249{col 67}{space 3} .7128452
{txt}{space 9}sex {c |}{col 14}{res}{space 2} .0499223{col 26}{space 2} .2724361{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4}-.4840426{col 67}{space 3} .5838873
{txt}{space 6}polint {c |}{col 14}{res}{space 2}-.2840159{col 26}{space 2} .1855473{col 37}{space 1}   -1.53{col 46}{space 3}0.126{col 54}{space 4}-.6476819{col 67}{space 3} .0796501
{txt}{space 7}unemp {c |}{col 14}{res}{space 2} .0317339{col 26}{space 2} .2392648{col 37}{space 1}    0.13{col 46}{space 3}0.894{col 54}{space 4}-.4372165{col 67}{space 3} .5006842
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-.2221677{col 26}{space 2} .0590713{col 37}{space 1}   -3.76{col 46}{space 3}0.000{col 54}{space 4}-.3379454{col 67}{space 3}  -.10639
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-6.655583{col 26}{space 2} 1.046083{col 37}{space 1}   -6.36{col 46}{space 3}0.000{col 54}{space 4}-8.705868{col 67}{space 3}-4.605298
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins  high, at(mcp=(1(0.2)7))
{res}
{txt}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,094}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(likesd), predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.2}}
{lalign 8:3._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.4}}
{lalign 8:4._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.6}}
{lalign 8:5._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.8}}
{lalign 8:6._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2}}
{lalign 8:7._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.2}}
{lalign 8:8._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.4}}
{lalign 8:9._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.6}}
{lalign 8:10._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.8}}
{lalign 8:11._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3}}
{lalign 8:12._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.2}}
{lalign 8:13._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.4}}
{lalign 8:14._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.6}}
{lalign 8:15._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.8}}
{lalign 8:16._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4}}
{lalign 8:17._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.2}}
{lalign 8:18._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.4}}
{lalign 8:19._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.6}}
{lalign 8:20._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.8}}
{lalign 8:21._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5}}
{lalign 8:22._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.2}}
{lalign 8:23._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.4}}
{lalign 8:24._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.6}}
{lalign 8:25._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.8}}
{lalign 8:26._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6}}
{lalign 8:27._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.2}}
{lalign 8:28._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.4}}
{lalign 8:29._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.6}}
{lalign 8:30._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.8}}
{lalign 8:31._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:7}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_at#high {c |}
{space 7} 1 0  {c |}{col 14}{res}{space 2} .1697521{col 26}{space 2} .0218596{col 37}{space 1}    7.77{col 46}{space 3}0.000{col 54}{space 4}  .126908{col 67}{space 3} .2125962
{txt}{space 7} 1 1  {c |}{col 14}{res}{space 2} .2740047{col 26}{space 2} .0383115{col 37}{space 1}    7.15{col 46}{space 3}0.000{col 54}{space 4} .1989156{col 67}{space 3} .3490938
{txt}{space 7} 2 0  {c |}{col 14}{res}{space 2} .1644657{col 26}{space 2} .0199308{col 37}{space 1}    8.25{col 46}{space 3}0.000{col 54}{space 4}  .125402{col 67}{space 3} .2035293
{txt}{space 7} 2 1  {c |}{col 14}{res}{space 2} .2626063{col 26}{space 2} .0349613{col 37}{space 1}    7.51{col 46}{space 3}0.000{col 54}{space 4} .1940835{col 67}{space 3} .3311291
{txt}{space 7} 3 0  {c |}{col 14}{res}{space 2} .1592578{col 26}{space 2} .0181185{col 37}{space 1}    8.79{col 46}{space 3}0.000{col 54}{space 4} .1237461{col 67}{space 3} .1947694
{txt}{space 7} 3 1  {c |}{col 14}{res}{space 2}  .251372{col 26}{space 2} .0317806{col 37}{space 1}    7.91{col 46}{space 3}0.000{col 54}{space 4} .1890832{col 67}{space 3} .3136609
{txt}{space 7} 4 0  {c |}{col 14}{res}{space 2} .1541303{col 26}{space 2} .0164406{col 37}{space 1}    9.37{col 46}{space 3}0.000{col 54}{space 4} .1219073{col 67}{space 3} .1863533
{txt}{space 7} 4 1  {c |}{col 14}{res}{space 2} .2403083{col 26}{space 2} .0287943{col 37}{space 1}    8.35{col 46}{space 3}0.000{col 54}{space 4} .1838726{col 67}{space 3}  .296744
{txt}{space 7} 5 0  {c |}{col 14}{res}{space 2} .1490852{col 26}{space 2} .0149189{col 37}{space 1}    9.99{col 46}{space 3}0.000{col 54}{space 4} .1198447{col 67}{space 3} .1783257
{txt}{space 7} 5 1  {c |}{col 14}{res}{space 2} .2294224{col 26}{space 2} .0260334{col 37}{space 1}    8.81{col 46}{space 3}0.000{col 54}{space 4} .1783978{col 67}{space 3} .2804469
{txt}{space 7} 6 0  {c |}{col 14}{res}{space 2} .1441244{col 26}{space 2} .0135796{col 37}{space 1}   10.61{col 46}{space 3}0.000{col 54}{space 4} .1175088{col 67}{space 3} .1707399
{txt}{space 7} 6 1  {c |}{col 14}{res}{space 2} .2187223{col 26}{space 2} .0235367{col 37}{space 1}    9.29{col 46}{space 3}0.000{col 54}{space 4} .1725912{col 67}{space 3} .2648533
{txt}{space 7} 7 0  {c |}{col 14}{res}{space 2} .1392496{col 26}{space 2} .0124526{col 37}{space 1}   11.18{col 46}{space 3}0.000{col 54}{space 4} .1148431{col 67}{space 3} .1636562
{txt}{space 7} 7 1  {c |}{col 14}{res}{space 2} .2082168{col 26}{space 2} .0213503{col 37}{space 1}    9.75{col 46}{space 3}0.000{col 54}{space 4}  .166371{col 67}{space 3} .2500627
{txt}{space 7} 8 0  {c |}{col 14}{res}{space 2} .1344628{col 26}{space 2} .0115681{col 37}{space 1}   11.62{col 46}{space 3}0.000{col 54}{space 4} .1117898{col 67}{space 3} .1571358
{txt}{space 7} 8 1  {c |}{col 14}{res}{space 2} .1979156{col 26}{space 2} .0195256{col 37}{space 1}   10.14{col 46}{space 3}0.000{col 54}{space 4} .1596461{col 67}{space 3} .2361851
{txt}{space 7} 9 0  {c |}{col 14}{res}{space 2} .1297656{col 26}{space 2} .0109513{col 37}{space 1}   11.85{col 46}{space 3}0.000{col 54}{space 4} .1083015{col 67}{space 3} .1512297
{txt}{space 7} 9 1  {c |}{col 14}{res}{space 2} .1878288{col 26}{space 2} .0181124{col 37}{space 1}   10.37{col 46}{space 3}0.000{col 54}{space 4} .1523292{col 67}{space 3} .2233284
{txt}{space 7}10 0  {c |}{col 14}{res}{space 2} .1251597{col 26}{space 2} .0106141{col 37}{space 1}   11.79{col 46}{space 3}0.000{col 54}{space 4} .1043564{col 67}{space 3}  .145963
{txt}{space 7}10 1  {c |}{col 14}{res}{space 2} .1779671{col 26}{space 2} .0171467{col 37}{space 1}   10.38{col 46}{space 3}0.000{col 54}{space 4} .1443602{col 67}{space 3} .2115739
{txt}{space 7}11 0  {c |}{col 14}{res}{space 2} .1206466{col 26}{space 2} .0105487{col 37}{space 1}   11.44{col 46}{space 3}0.000{col 54}{space 4} .0999715{col 67}{space 3} .1413218
{txt}{space 7}11 1  {c |}{col 14}{res}{space 2} .1683414{col 26}{space 2} .0166361{col 37}{space 1}   10.12{col 46}{space 3}0.000{col 54}{space 4} .1357353{col 67}{space 3} .2009476
{txt}{space 7}12 0  {c |}{col 14}{res}{space 2} .1162279{col 26}{space 2} .0107264{col 37}{space 1}   10.84{col 46}{space 3}0.000{col 54}{space 4} .0952045{col 67}{space 3} .1372512
{txt}{space 7}12 1  {c |}{col 14}{res}{space 2} .1589632{col 26}{space 2} .0165499{col 37}{space 1}    9.61{col 46}{space 3}0.000{col 54}{space 4} .1265259{col 67}{space 3} .1914004
{txt}{space 7}13 0  {c |}{col 14}{res}{space 2} .1119048{col 26}{space 2} .0111036{col 37}{space 1}   10.08{col 46}{space 3}0.000{col 54}{space 4} .0901421{col 67}{space 3} .1336675
{txt}{space 7}13 1  {c |}{col 14}{res}{space 2} .1498434{col 26}{space 2} .0168217{col 37}{space 1}    8.91{col 46}{space 3}0.000{col 54}{space 4} .1168734{col 67}{space 3} .1828134
{txt}{space 7}14 0  {c |}{col 14}{res}{space 2} .1076786{col 26}{space 2} .0116315{col 37}{space 1}    9.26{col 46}{space 3}0.000{col 54}{space 4} .0848814{col 67}{space 3} .1304759
{txt}{space 7}14 1  {c |}{col 14}{res}{space 2} .1409932{col 26}{space 2} .0173638{col 37}{space 1}    8.12{col 46}{space 3}0.000{col 54}{space 4} .1069608{col 67}{space 3} .1750256
{txt}{space 7}15 0  {c |}{col 14}{res}{space 2} .1035505{col 26}{space 2} .0122634{col 37}{space 1}    8.44{col 46}{space 3}0.000{col 54}{space 4} .0795147{col 67}{space 3} .1275862
{txt}{space 7}15 1  {c |}{col 14}{res}{space 2} .1324231{col 26}{space 2} .0180846{col 37}{space 1}    7.32{col 46}{space 3}0.000{col 54}{space 4} .0969779{col 67}{space 3} .1678682
{txt}{space 7}16 0  {c |}{col 14}{res}{space 2} .0995213{col 26}{space 2} .0129596{col 37}{space 1}    7.68{col 46}{space 3}0.000{col 54}{space 4}  .074121{col 67}{space 3} .1249217
{txt}{space 7}16 1  {c |}{col 14}{res}{space 2} .1241429{col 26}{space 2} .0189013{col 37}{space 1}    6.57{col 46}{space 3}0.000{col 54}{space 4}  .087097{col 67}{space 3} .1611888
{txt}{space 7}17 0  {c |}{col 14}{res}{space 2}  .095592{col 26}{space 2} .0136882{col 37}{space 1}    6.98{col 46}{space 3}0.000{col 54}{space 4} .0687636{col 67}{space 3} .1224204
{txt}{space 7}17 1  {c |}{col 14}{res}{space 2} .1161618{col 26}{space 2} .0197457{col 37}{space 1}    5.88{col 46}{space 3}0.000{col 54}{space 4}  .077461{col 67}{space 3} .1548627
{txt}{space 7}18 0  {c |}{col 14}{res}{space 2} .0917632{col 26}{space 2} .0144246{col 37}{space 1}    6.36{col 46}{space 3}0.000{col 54}{space 4} .0634914{col 67}{space 3}  .120035
{txt}{space 7}18 1  {c |}{col 14}{res}{space 2} .1084878{col 26}{space 2} .0205644{col 37}{space 1}    5.28{col 46}{space 3}0.000{col 54}{space 4} .0681823{col 67}{space 3} .1487934
{txt}{space 7}19 0  {c |}{col 14}{res}{space 2} .0880355{col 26}{space 2} .0151502{col 37}{space 1}    5.81{col 46}{space 3}0.000{col 54}{space 4} .0583416{col 67}{space 3} .1177294
{txt}{space 7}19 1  {c |}{col 14}{res}{space 2} .1011277{col 26}{space 2} .0213177{col 37}{space 1}    4.74{col 46}{space 3}0.000{col 54}{space 4} .0593459{col 67}{space 3} .1429095
{txt}{space 7}20 0  {c |}{col 14}{res}{space 2} .0844092{col 26}{space 2} .0158511{col 37}{space 1}    5.33{col 46}{space 3}0.000{col 54}{space 4} .0533417{col 67}{space 3} .1154767
{txt}{space 7}20 1  {c |}{col 14}{res}{space 2} .0940869{col 26}{space 2} .0219765{col 37}{space 1}    4.28{col 46}{space 3}0.000{col 54}{space 4} .0510138{col 67}{space 3} .1371601
{txt}{space 7}21 0  {c |}{col 14}{res}{space 2} .0808846{col 26}{space 2} .0165169{col 37}{space 1}    4.90{col 46}{space 3}0.000{col 54}{space 4}  .048512{col 67}{space 3} .1132572
{txt}{space 7}21 1  {c |}{col 14}{res}{space 2} .0873695{col 26}{space 2} .0225211{col 37}{space 1}    3.88{col 46}{space 3}0.000{col 54}{space 4}  .043229{col 67}{space 3}   .13151
{txt}{space 7}22 0  {c |}{col 14}{res}{space 2} .0774617{col 26}{space 2} .0171403{col 37}{space 1}    4.52{col 46}{space 3}0.000{col 54}{space 4} .0438673{col 67}{space 3} .1110561
{txt}{space 7}22 1  {c |}{col 14}{res}{space 2} .0809777{col 26}{space 2} .0229386{col 37}{space 1}    3.53{col 46}{space 3}0.000{col 54}{space 4} .0360189{col 67}{space 3} .1259366
{txt}{space 7}23 0  {c |}{col 14}{res}{space 2} .0741405{col 26}{space 2} .0177158{col 37}{space 1}    4.18{col 46}{space 3}0.000{col 54}{space 4} .0394181{col 67}{space 3} .1088628
{txt}{space 7}23 1  {c |}{col 14}{res}{space 2} .0749125{col 26}{space 2}  .023222{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .0293981{col 67}{space 3} .1204268
{txt}{space 7}24 0  {c |}{col 14}{res}{space 2} .0709206{col 26}{space 2} .0182397{col 37}{space 1}    3.89{col 46}{space 3}0.000{col 54}{space 4} .0351714{col 67}{space 3} .1066698
{txt}{space 7}24 1  {c |}{col 14}{res}{space 2} .0691727{col 26}{space 2}  .023369{col 37}{space 1}    2.96{col 46}{space 3}0.003{col 54}{space 4} .0233703{col 67}{space 3} .1149752
{txt}{space 7}25 0  {c |}{col 14}{res}{space 2} .0678017{col 26}{space 2} .0187095{col 37}{space 1}    3.62{col 46}{space 3}0.000{col 54}{space 4} .0311317{col 67}{space 3} .1044716
{txt}{space 7}25 1  {c |}{col 14}{res}{space 2}  .063756{col 26}{space 2}  .023381{col 37}{space 1}    2.73{col 46}{space 3}0.006{col 54}{space 4} .0179301{col 67}{space 3} .1095819
{txt}{space 7}26 0  {c |}{col 14}{res}{space 2} .0647832{col 26}{space 2} .0191237{col 37}{space 1}    3.39{col 46}{space 3}0.001{col 54}{space 4} .0273013{col 67}{space 3}  .102265
{txt}{space 7}26 1  {c |}{col 14}{res}{space 2} .0586581{col 26}{space 2} .0232625{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .0130643{col 67}{space 3} .1042518
{txt}{space 7}27 0  {c |}{col 14}{res}{space 2} .0618643{col 26}{space 2} .0194818{col 37}{space 1}    3.18{col 46}{space 3}0.001{col 54}{space 4} .0236806{col 67}{space 3} .1000479
{txt}{space 7}27 1  {c |}{col 14}{res}{space 2} .0538732{col 26}{space 2} .0230206{col 37}{space 1}    2.34{col 46}{space 3}0.019{col 54}{space 4} .0087536{col 67}{space 3} .0989928
{txt}{space 7}28 0  {c |}{col 14}{res}{space 2} .0590441{col 26}{space 2} .0197837{col 37}{space 1}    2.98{col 46}{space 3}0.003{col 54}{space 4} .0202688{col 67}{space 3} .0978194
{txt}{space 7}28 1  {c |}{col 14}{res}{space 2} .0493943{col 26}{space 2} .0226643{col 37}{space 1}    2.18{col 46}{space 3}0.029{col 54}{space 4} .0049731{col 67}{space 3} .0938154
{txt}{space 7}29 0  {c |}{col 14}{res}{space 2} .0563217{col 26}{space 2}   .02003{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4} .0170637{col 67}{space 3} .0955797
{txt}{space 7}29 1  {c |}{col 14}{res}{space 2} .0452128{col 26}{space 2} .0222039{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0016941{col 67}{space 3} .0887316
{txt}{space 7}30 0  {c |}{col 14}{res}{space 2} .0536958{col 26}{space 2} .0202216{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .0140621{col 67}{space 3} .0933295
{txt}{space 7}30 1  {c |}{col 14}{res}{space 2} .0413192{col 26}{space 2} .0216509{col 37}{space 1}    1.91{col 46}{space 3}0.056{col 54}{space 4}-.0011157{col 67}{space 3} .0837541
{txt}{space 7}31 0  {c |}{col 14}{res}{space 2} .0511652{col 26}{space 2} .0203601{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .0112601{col 67}{space 3} .0910702
{txt}{space 7}31 1  {c |}{col 14}{res}{space 2} .0377028{col 26}{space 2} .0210173{col 37}{space 1}    1.79{col 46}{space 3}0.073{col 54}{space 4}-.0034905{col 67}{space 3}  .078896
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%60)) recastci(rarea) xlabel(1(1)7) ///
>         xlabel(1(1)7) xscale(r(1 7)) title("") ///
>         xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ytitle("Pr - {c -(}it:Liking SD{c )-}")  ylabel(0(.1)0.4) graphregion(c(white)) ///
>         scheme(s2mono) name(A4_logit1, replace) plot2opts(lpattern(longdash)) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  xlabel(1(1)7) fcolor(gray%20)  ///
>         ytitle("Percentage of Observations", axis(2))lcolor(black%30) leg(off)  /// 
>         yscale(alt axis(2))) ylabel(0(.1)0.4) xlabel(1(1)7) xscale(r(1 7)) ///
>         note("(8.1)", position(11))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp high}{p_end}
{res}{txt}
{com}.  
. logit likesd i.high##c.mcp anti_immi left_right sex polint unemp edu

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-439.09125}  
Iteration 1:{space 3}log likelihood = {res:-292.71508}  
Iteration 2:{space 3}log likelihood = {res:-241.73825}  
Iteration 3:{space 3}log likelihood = {res:-235.81472}  
Iteration 4:{space 3}log likelihood = {res:-235.72536}  
Iteration 5:{space 3}log likelihood = {res:-235.72535}  
{res}
{txt}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,094}
{txt}{col 57}{lalign 13:LR chi2({res:9})}{col 70} = {res}{ralign 6:406.73}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}Log likelihood = {res:-235.72535}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.4632}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      likesd{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.high {c |}{col 14}{res}{space 2} 1.357492{col 26}{space 2} .6015927{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .1783915{col 67}{space 3} 2.536592
{txt}{space 9}mcp {c |}{col 14}{res}{space 2}-.3141057{col 26}{space 2} .1146304{col 37}{space 1}   -2.74{col 46}{space 3}0.006{col 54}{space 4}-.5387771{col 67}{space 3}-.0894344
{txt}{space 12} {c |}
{space 2}high#c.mcp {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2486512{col 26}{space 2} .1918963{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.6247611{col 67}{space 3} .1274587
{txt}{space 12} {c |}
{space 3}anti_immi {c |}{col 14}{res}{space 2} .9348181{col 26}{space 2} .1080213{col 37}{space 1}    8.65{col 46}{space 3}0.000{col 54}{space 4} .7231003{col 67}{space 3} 1.146536
{txt}{space 2}left_right {c |}{col 14}{res}{space 2} .5132851{col 26}{space 2} .1018183{col 37}{space 1}    5.04{col 46}{space 3}0.000{col 54}{space 4} .3137249{col 67}{space 3} .7128452
{txt}{space 9}sex {c |}{col 14}{res}{space 2} .0499223{col 26}{space 2} .2724361{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4}-.4840426{col 67}{space 3} .5838873
{txt}{space 6}polint {c |}{col 14}{res}{space 2}-.2840159{col 26}{space 2} .1855473{col 37}{space 1}   -1.53{col 46}{space 3}0.126{col 54}{space 4}-.6476819{col 67}{space 3} .0796501
{txt}{space 7}unemp {c |}{col 14}{res}{space 2} .0317339{col 26}{space 2} .2392648{col 37}{space 1}    0.13{col 46}{space 3}0.894{col 54}{space 4}-.4372165{col 67}{space 3} .5006842
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-.2221677{col 26}{space 2} .0590713{col 37}{space 1}   -3.76{col 46}{space 3}0.000{col 54}{space 4}-.3379454{col 67}{space 3}  -.10639
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-6.655583{col 26}{space 2} 1.046083{col 37}{space 1}   -6.36{col 46}{space 3}0.000{col 54}{space 4}-8.705868{col 67}{space 3}-4.605298
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins  r.high, at(mcp=(1(0.2)7))
{res}
{txt}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,094}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(likesd), predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.2}}
{lalign 8:3._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.4}}
{lalign 8:4._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.6}}
{lalign 8:5._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.8}}
{lalign 8:6._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2}}
{lalign 8:7._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.2}}
{lalign 8:8._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.4}}
{lalign 8:9._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.6}}
{lalign 8:10._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.8}}
{lalign 8:11._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3}}
{lalign 8:12._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.2}}
{lalign 8:13._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.4}}
{lalign 8:14._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.6}}
{lalign 8:15._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.8}}
{lalign 8:16._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4}}
{lalign 8:17._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.2}}
{lalign 8:18._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.4}}
{lalign 8:19._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.6}}
{lalign 8:20._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.8}}
{lalign 8:21._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5}}
{lalign 8:22._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.2}}
{lalign 8:23._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.4}}
{lalign 8:24._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.6}}
{lalign 8:25._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.8}}
{lalign 8:26._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6}}
{lalign 8:27._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.2}}
{lalign 8:28._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.4}}
{lalign 8:29._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.6}}
{lalign 8:30._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.8}}
{lalign 8:31._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:7}}

{res}{col 1}{text}{hline 13}{c TT}{hline 11}{hline 12}{hline 11}
{col 14}{text}{c |}         df{col 26}        chi2{col 38}     P>chi2
{res}{col 1}{text}{hline 13}{c +}{hline 11}{hline 12}{hline 11}
{space 4}high@_at {c |}
(1 vs 0)  1  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     6.09{col 38}{space 2}   0.0136
{txt}(1 vs 0)  2  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     6.45{col 38}{space 2}   0.0111
{txt}(1 vs 0)  3  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     6.83{col 38}{space 2}   0.0090
{txt}(1 vs 0)  4  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     7.22{col 38}{space 2}   0.0072
{txt}(1 vs 0)  5  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     7.59{col 38}{space 2}   0.0059
{txt}(1 vs 0)  6  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     7.90{col 38}{space 2}   0.0050
{txt}(1 vs 0)  7  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     8.06{col 38}{space 2}   0.0045
{txt}(1 vs 0)  8  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     7.99{col 38}{space 2}   0.0047
{txt}(1 vs 0)  9  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     7.60{col 38}{space 2}   0.0058
{txt}(1 vs 0) 10  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     6.86{col 38}{space 2}   0.0088
{txt}(1 vs 0) 11  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     5.84{col 38}{space 2}   0.0157
{txt}(1 vs 0) 12  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.68{col 38}{space 2}   0.0306
{txt}(1 vs 0) 13  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.54{col 38}{space 2}   0.0599
{txt}(1 vs 0) 14  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     2.56{col 38}{space 2}   0.1099
{txt}(1 vs 0) 15  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.77{col 38}{space 2}   0.1836
{txt}(1 vs 0) 16  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.18{col 38}{space 2}   0.2779
{txt}(1 vs 0) 17  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.75{col 38}{space 2}   0.3858
{txt}(1 vs 0) 18  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.46{col 38}{space 2}   0.4988
{txt}(1 vs 0) 19  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.26{col 38}{space 2}   0.6103
{txt}(1 vs 0) 20  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.13{col 38}{space 2}   0.7156
{txt}(1 vs 0) 21  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.06{col 38}{space 2}   0.8125
{txt}(1 vs 0) 22  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.02{col 38}{space 2}   0.9000
{txt}(1 vs 0) 23  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.00{col 38}{space 2}   0.9784
{txt}(1 vs 0) 24  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.00{col 38}{space 2}   0.9518
{txt}(1 vs 0) 25  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.02{col 38}{space 2}   0.8898
{txt}(1 vs 0) 26  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.04{col 38}{space 2}   0.8346
{txt}(1 vs 0) 27  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.07{col 38}{space 2}   0.7856
{txt}(1 vs 0) 28  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.11{col 38}{space 2}   0.7418
{txt}(1 vs 0) 29  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.15{col 38}{space 2}   0.7027
{txt}(1 vs 0) 30  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.18{col 38}{space 2}   0.6677
{txt}(1 vs 0) 31  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.22{col 38}{space 2}   0.6364
{col 1}{text}      Joint {col 14}{c |}{result}{space 2}        7{col 26}{space 3}    37.40{col 38}{space 2}   0.0000
{col 1}{text}{hline 13}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}   Contrast{col 26}   std. err.{col 38}     [95% con{col 51}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 4}high@_at {c |}
(1 vs 0)  1  {c |}{col 14}{res}{space 2} .1042526{col 26}{space 2} .0422505{col 37}{space 5} .0214431{col 51}{space 3} .1870622
{txt}(1 vs 0)  2  {c |}{col 14}{res}{space 2} .0981407{col 26}{space 2} .0386526{col 37}{space 5} .0223829{col 51}{space 3} .1738985
{txt}(1 vs 0)  3  {c |}{col 14}{res}{space 2} .0921143{col 26}{space 2} .0352507{col 37}{space 5} .0230242{col 51}{space 3} .1612043
{txt}(1 vs 0)  4  {c |}{col 14}{res}{space 2}  .086178{col 26}{space 2} .0320739{col 37}{space 5} .0233143{col 51}{space 3} .1490417
{txt}(1 vs 0)  5  {c |}{col 14}{res}{space 2} .0803372{col 26}{space 2} .0291585{col 37}{space 5} .0231875{col 51}{space 3} .1374869
{txt}(1 vs 0)  6  {c |}{col 14}{res}{space 2} .0745979{col 26}{space 2} .0265484{col 37}{space 5} .0225639{col 51}{space 3} .1266319
{txt}(1 vs 0)  7  {c |}{col 14}{res}{space 2} .0689672{col 26}{space 2}  .024294{col 37}{space 5} .0213519{col 51}{space 3} .1165826
{txt}(1 vs 0)  8  {c |}{col 14}{res}{space 2} .0634528{col 26}{space 2} .0224485{col 37}{space 5} .0194546{col 51}{space 3} .1074511
{txt}(1 vs 0)  9  {c |}{col 14}{res}{space 2} .0580632{col 26}{space 2} .0210596{col 37}{space 5} .0167872{col 51}{space 3} .0993392
{txt}(1 vs 0) 10  {c |}{col 14}{res}{space 2} .0528074{col 26}{space 2} .0201566{col 37}{space 5} .0133011{col 51}{space 3} .0923136
{txt}(1 vs 0) 11  {c |}{col 14}{res}{space 2} .0476948{col 26}{space 2} .0197375{col 37}{space 5}   .00901{col 51}{space 3} .0863797
{txt}(1 vs 0) 12  {c |}{col 14}{res}{space 2} .0427353{col 26}{space 2} .0197626{col 37}{space 5} .0040013{col 51}{space 3} .0814693
{txt}(1 vs 0) 13  {c |}{col 14}{res}{space 2} .0379386{col 26}{space 2}   .02016{col 37}{space 5}-.0015742{col 51}{space 3} .0774514
{txt}(1 vs 0) 14  {c |}{col 14}{res}{space 2} .0333146{col 26}{space 2} .0208402{col 37}{space 5}-.0075315{col 51}{space 3} .0741607
{txt}(1 vs 0) 15  {c |}{col 14}{res}{space 2} .0288726{col 26}{space 2} .0217122{col 37}{space 5}-.0136826{col 51}{space 3} .0714278
{txt}(1 vs 0) 16  {c |}{col 14}{res}{space 2} .0246216{col 26}{space 2} .0226939{col 37}{space 5}-.0198577{col 51}{space 3} .0691009
{txt}(1 vs 0) 17  {c |}{col 14}{res}{space 2} .0205698{col 26}{space 2} .0237172{col 37}{space 5} -.025915{col 51}{space 3} .0670547
{txt}(1 vs 0) 18  {c |}{col 14}{res}{space 2} .0167246{col 26}{space 2} .0247284{col 37}{space 5}-.0317421{col 51}{space 3} .0651913
{txt}(1 vs 0) 19  {c |}{col 14}{res}{space 2} .0130922{col 26}{space 2} .0256867{col 37}{space 5}-.0372528{col 51}{space 3} .0634373
{txt}(1 vs 0) 20  {c |}{col 14}{res}{space 2} .0096777{col 26}{space 2} .0265625{col 37}{space 5}-.0423837{col 51}{space 3} .0617392
{txt}(1 vs 0) 21  {c |}{col 14}{res}{space 2} .0064849{col 26}{space 2} .0273347{col 37}{space 5}-.0470901{col 51}{space 3} .0600598
{txt}(1 vs 0) 22  {c |}{col 14}{res}{space 2}  .003516{col 26}{space 2} .0279895{col 37}{space 5}-.0513425{col 51}{space 3} .0583745
{txt}(1 vs 0) 23  {c |}{col 14}{res}{space 2}  .000772{col 26}{space 2} .0285191{col 37}{space 5}-.0551245{col 51}{space 3} .0566685
{txt}(1 vs 0) 24  {c |}{col 14}{res}{space 2}-.0017479{col 26}{space 2} .0289201{col 37}{space 5}-.0584303{col 51}{space 3} .0549345
{txt}(1 vs 0) 25  {c |}{col 14}{res}{space 2}-.0040457{col 26}{space 2}  .029193{col 37}{space 5} -.061263{col 51}{space 3} .0531716
{txt}(1 vs 0) 26  {c |}{col 14}{res}{space 2}-.0061251{col 26}{space 2} .0293414{col 37}{space 5}-.0636332{col 51}{space 3}  .051383
{txt}(1 vs 0) 27  {c |}{col 14}{res}{space 2} -.007991{col 26}{space 2} .0293712{col 37}{space 5}-.0655576{col 51}{space 3} .0495755
{txt}(1 vs 0) 28  {c |}{col 14}{res}{space 2}-.0096498{col 26}{space 2} .0292903{col 37}{space 5}-.0670578{col 51}{space 3} .0477581
{txt}(1 vs 0) 29  {c |}{col 14}{res}{space 2}-.0111089{col 26}{space 2} .0291078{col 37}{space 5}-.0681592{col 51}{space 3} .0459414
{txt}(1 vs 0) 30  {c |}{col 14}{res}{space 2}-.0123766{col 26}{space 2} .0288338{col 37}{space 5}-.0688899{col 51}{space 3} .0441367
{txt}(1 vs 0) 31  {c |}{col 14}{res}{space 2}-.0134624{col 26}{space 2} .0284789{col 37}{space 5}  -.06928{col 51}{space 3} .0423552
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%60)) recastci(rarea) xlabel(1(1)7) ///
>         xlabel(1(1)7) xscale(r(1 7)) title("")  ///
>         xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ytitle(" {c -(}&Delta{c )-}Pr of {c -(}it:Liking SD{c )-}" "(Contrasts between groups)") ///
>         graphregion(c(white)) ///
>         yline(0) scheme(s2mono) name(A4_logit2, replace) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  xlabel(1(1)7) fcolor(gray%20)  ///
>         ytitle("Percentage of Observations", axis(2))lcolor(black%30) leg(off)  /// 
>         yscale(alt axis(2)))  xlabel(1(1)7) xscale(r(1 7)) ///
>         note("(8.2)", position(11)) 
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp}{p_end}
{res}{txt}
{com}. 
. graph combine A4_logit1 A4_logit2,  col(2) xsize(11) ysize(4) ///
>         graphregion(margin(zero)) scale(2) name(fig8, replace)
{res}{txt}
{com}.         
. graph save fig8 "fig8.gph", replace
{txt}{p 0 4 2}
(file {bf}
fig8.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:fig8.gph} saved

{com}. graph export fig8.tif, replace  
{txt}{p 0 4 2}
(file {bf}
fig8.tif{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fig8.tif{rm}
saved as
TIFF
format
{p_end}

{com}. graph close A4_logit1 A4_logit2
{txt}
{com}.  
.  **A5 - LPM SEPERATING LOW TREATMENT AND CONTROL**
. 
. eststo: quietly regress likesd i.group mcp anti_immi left_right sex polint unemp edu
{txt}({res}est1{txt} stored)

{com}. eststo: quietly regress likesd anti_immi i.group mcp left_right sex polint unemp edu i.group#c.mcp 
{txt}({res}est2{txt} stored)

{com}. esttab using A5.rtf, replace se label title(Linear Probability Model(LPM)\label{c -(}tab1{c )-})  
{res}{txt}{p 0 4 2}
(file {bf}
A5.rtf{rm}
not found)
{p_end}
(output written to {browse  `"A5.rtf"'})

{com}. eststo clear
{txt}
{com}. 
. reg likesd i.group##c.mcp anti_immi left_right sex polint unemp edu

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,094
{txt}{hline 13}{c +}{hline 34}   F(11, 1082)     = {res}    44.19
{txt}       Model {c |} {res} 40.3480489        11  3.66800444   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 89.8100864     1,082  .083003777   {txt}R-squared       ={res}    0.3100
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3030
{txt}       Total {c |} {res} 130.158135     1,093  .119083381   {txt}Root MSE        =   {res}  .2881

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      likesd{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}group {c |}
{space 8}Low  {c |}{col 14}{res}{space 2}-.1277131{col 26}{space 2} .0569651{col 37}{space 1}   -2.24{col 46}{space 3}0.025{col 54}{space 4}-.2394877{col 67}{space 3}-.0159384
{txt}{space 4}Control  {c |}{col 14}{res}{space 2}-.2531403{col 26}{space 2} .0558833{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.3627922{col 67}{space 3}-.1434884
{txt}{space 12} {c |}
{space 9}mcp {c |}{col 14}{res}{space 2}-.0563186{col 26}{space 2} .0095775{col 37}{space 1}   -5.88{col 46}{space 3}0.000{col 54}{space 4}-.0751111{col 67}{space 3} -.037526
{txt}{space 12} {c |}
{space 1}group#c.mcp {c |}
{space 8}Low  {c |}{col 14}{res}{space 2} .0185193{col 26}{space 2}   .01351{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4}-.0079895{col 67}{space 3} .0450281
{txt}{space 4}Control  {c |}{col 14}{res}{space 2} .0505585{col 26}{space 2} .0132924{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .0244766{col 67}{space 3} .0766403
{txt}{space 12} {c |}
{space 3}anti_immi {c |}{col 14}{res}{space 2} .0637786{col 26}{space 2} .0056903{col 37}{space 1}   11.21{col 46}{space 3}0.000{col 54}{space 4} .0526133{col 67}{space 3} .0749439
{txt}{space 2}left_right {c |}{col 14}{res}{space 2}  .026865{col 26}{space 2} .0066835{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4} .0137509{col 67}{space 3}  .039979
{txt}{space 9}sex {c |}{col 14}{res}{space 2}-.0157245{col 26}{space 2} .0186789{col 37}{space 1}   -0.84{col 46}{space 3}0.400{col 54}{space 4}-.0523755{col 67}{space 3} .0209265
{txt}{space 6}polint {c |}{col 14}{res}{space 2}-.0477134{col 26}{space 2} .0143478{col 37}{space 1}   -3.33{col 46}{space 3}0.001{col 54}{space 4}-.0758659{col 67}{space 3}-.0195608
{txt}{space 7}unemp {c |}{col 14}{res}{space 2} .0123472{col 26}{space 2} .0180208{col 37}{space 1}    0.69{col 46}{space 3}0.493{col 54}{space 4}-.0230123{col 67}{space 3} .0477068
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-.0189438{col 26}{space 2} .0045534{col 37}{space 1}   -4.16{col 46}{space 3}0.000{col 54}{space 4}-.0278782{col 67}{space 3}-.0100094
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2356731{col 26}{space 2} .0685557{col 37}{space 1}    3.44{col 46}{space 3}0.001{col 54}{space 4} .1011559{col 67}{space 3} .3701903
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins  group, at(mcp=(1(0.2)7)) 
{res}
{txt}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,094}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.2}}
{lalign 8:3._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.4}}
{lalign 8:4._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.6}}
{lalign 8:5._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.8}}
{lalign 8:6._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2}}
{lalign 8:7._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.2}}
{lalign 8:8._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.4}}
{lalign 8:9._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.6}}
{lalign 8:10._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.8}}
{lalign 8:11._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3}}
{lalign 8:12._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.2}}
{lalign 8:13._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.4}}
{lalign 8:14._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.6}}
{lalign 8:15._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.8}}
{lalign 8:16._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4}}
{lalign 8:17._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.2}}
{lalign 8:18._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.4}}
{lalign 8:19._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.6}}
{lalign 8:20._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.8}}
{lalign 8:21._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5}}
{lalign 8:22._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.2}}
{lalign 8:23._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.4}}
{lalign 8:24._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.6}}
{lalign 8:25._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.8}}
{lalign 8:26._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6}}
{lalign 8:27._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.2}}
{lalign 8:28._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.4}}
{lalign 8:29._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.6}}
{lalign 8:30._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.8}}
{lalign 8:31._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:7}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}_at#group {c |}
{space 4} 1#High  {c |}{col 14}{res}{space 2} .3385749{col 26}{space 2} .0323295{col 37}{space 1}   10.47{col 46}{space 3}0.000{col 54}{space 4} .2751392{col 67}{space 3} .4020105
{txt}{space 5} 1#Low  {c |}{col 14}{res}{space 2} .2293811{col 26}{space 2} .0332399{col 37}{space 1}    6.90{col 46}{space 3}0.000{col 54}{space 4}  .164159{col 67}{space 3} .2946031
{txt}{space 1} 1#Control  {c |}{col 14}{res}{space 2}  .135993{col 26}{space 2}  .032044{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4} .0731176{col 67}{space 3} .1988684
{txt}{space 4} 2#High  {c |}{col 14}{res}{space 2} .3273111{col 26}{space 2} .0306357{col 37}{space 1}   10.68{col 46}{space 3}0.000{col 54}{space 4} .2671991{col 67}{space 3} .3874232
{txt}{space 5} 2#Low  {c |}{col 14}{res}{space 2} .2218212{col 26}{space 2}  .031406{col 37}{space 1}    7.06{col 46}{space 3}0.000{col 54}{space 4} .1601977{col 67}{space 3} .2834447
{txt}{space 1} 2#Control  {c |}{col 14}{res}{space 2}  .134841{col 26}{space 2} .0302855{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4} .0754161{col 67}{space 3} .1942658
{txt}{space 4} 3#High  {c |}{col 14}{res}{space 2} .3160474{col 26}{space 2} .0289695{col 37}{space 1}   10.91{col 46}{space 3}0.000{col 54}{space 4} .2592048{col 67}{space 3} .3728901
{txt}{space 5} 3#Low  {c |}{col 14}{res}{space 2} .2142614{col 26}{space 2}  .029605{col 37}{space 1}    7.24{col 46}{space 3}0.000{col 54}{space 4} .1561717{col 67}{space 3} .2723511
{txt}{space 1} 3#Control  {c |}{col 14}{res}{space 2}  .133689{col 26}{space 2} .0285618{col 37}{space 1}    4.68{col 46}{space 3}0.000{col 54}{space 4} .0776462{col 67}{space 3} .1897317
{txt}{space 4} 4#High  {c |}{col 14}{res}{space 2} .3047837{col 26}{space 2} .0273359{col 37}{space 1}   11.15{col 46}{space 3}0.000{col 54}{space 4} .2511463{col 67}{space 3} .3584211
{txt}{space 5} 4#Low  {c |}{col 14}{res}{space 2} .2067015{col 26}{space 2} .0278434{col 37}{space 1}    7.42{col 46}{space 3}0.000{col 54}{space 4} .1520684{col 67}{space 3} .2613346
{txt}{space 1} 4#Control  {c |}{col 14}{res}{space 2} .1325369{col 26}{space 2} .0268797{col 37}{space 1}    4.93{col 46}{space 3}0.000{col 54}{space 4} .0797948{col 67}{space 3} .1852791
{txt}{space 4} 5#High  {c |}{col 14}{res}{space 2}   .29352{col 26}{space 2} .0257413{col 37}{space 1}   11.40{col 46}{space 3}0.000{col 54}{space 4} .2430115{col 67}{space 3} .3440285
{txt}{space 5} 5#Low  {c |}{col 14}{res}{space 2} .1991417{col 26}{space 2} .0261291{col 37}{space 1}    7.62{col 46}{space 3}0.000{col 54}{space 4} .1478722{col 67}{space 3} .2504111
{txt}{space 1} 5#Control  {c |}{col 14}{res}{space 2} .1313849{col 26}{space 2} .0252474{col 37}{space 1}    5.20{col 46}{space 3}0.000{col 54}{space 4} .0818454{col 67}{space 3} .1809244
{txt}{space 4} 6#High  {c |}{col 14}{res}{space 2} .2822563{col 26}{space 2} .0241932{col 37}{space 1}   11.67{col 46}{space 3}0.000{col 54}{space 4} .2347853{col 67}{space 3} .3297273
{txt}{space 5} 6#Low  {c |}{col 14}{res}{space 2} .1915818{col 26}{space 2} .0244721{col 37}{space 1}    7.83{col 46}{space 3}0.000{col 54}{space 4} .1435636{col 67}{space 3}    .2396
{txt}{space 1} 6#Control  {c |}{col 14}{res}{space 2} .1302329{col 26}{space 2} .0236754{col 37}{space 1}    5.50{col 46}{space 3}0.000{col 54}{space 4} .0837779{col 67}{space 3} .1766879
{txt}{space 4} 7#High  {c |}{col 14}{res}{space 2} .2709926{col 26}{space 2} .0227013{col 37}{space 1}   11.94{col 46}{space 3}0.000{col 54}{space 4}  .226449{col 67}{space 3} .3155362
{txt}{space 5} 7#Low  {c |}{col 14}{res}{space 2} .1840219{col 26}{space 2} .0228849{col 37}{space 1}    8.04{col 46}{space 3}0.000{col 54}{space 4} .1391181{col 67}{space 3} .2289257
{txt}{space 1} 7#Control  {c |}{col 14}{res}{space 2} .1290809{col 26}{space 2} .0221765{col 37}{space 1}    5.82{col 46}{space 3}0.000{col 54}{space 4} .0855671{col 67}{space 3} .1725946
{txt}{space 4} 8#High  {c |}{col 14}{res}{space 2} .2597289{col 26}{space 2} .0212774{col 37}{space 1}   12.21{col 46}{space 3}0.000{col 54}{space 4} .2179793{col 67}{space 3} .3014784
{txt}{space 5} 8#Low  {c |}{col 14}{res}{space 2} .1764621{col 26}{space 2} .0213829{col 37}{space 1}    8.25{col 46}{space 3}0.000{col 54}{space 4} .1345054{col 67}{space 3} .2184188
{txt}{space 1} 8#Control  {c |}{col 14}{res}{space 2} .1279289{col 26}{space 2} .0207663{col 37}{space 1}    6.16{col 46}{space 3}0.000{col 54}{space 4}  .087182{col 67}{space 3} .1686757
{txt}{space 4} 9#High  {c |}{col 14}{res}{space 2} .2484652{col 26}{space 2} .0199359{col 37}{space 1}   12.46{col 46}{space 3}0.000{col 54}{space 4} .2093478{col 67}{space 3} .2875826
{txt}{space 5} 9#Low  {c |}{col 14}{res}{space 2} .1689022{col 26}{space 2} .0199855{col 37}{space 1}    8.45{col 46}{space 3}0.000{col 54}{space 4} .1296876{col 67}{space 3} .2081169
{txt}{space 1} 9#Control  {c |}{col 14}{res}{space 2} .1267768{col 26}{space 2} .0194643{col 37}{space 1}    6.51{col 46}{space 3}0.000{col 54}{space 4} .0885847{col 67}{space 3}  .164969
{txt}{space 4}10#High  {c |}{col 14}{res}{space 2} .2372015{col 26}{space 2} .0186947{col 37}{space 1}   12.69{col 46}{space 3}0.000{col 54}{space 4} .2005195{col 67}{space 3} .2738835
{txt}{space 5}10#Low  {c |}{col 14}{res}{space 2} .1613424{col 26}{space 2} .0187159{col 37}{space 1}    8.62{col 46}{space 3}0.000{col 54}{space 4} .1246188{col 67}{space 3}  .198066
{txt}{space 1}10#Control  {c |}{col 14}{res}{space 2} .1256248{col 26}{space 2} .0182936{col 37}{space 1}    6.87{col 46}{space 3}0.000{col 54}{space 4} .0897298{col 67}{space 3} .1615198
{txt}{space 4}11#High  {c |}{col 14}{res}{space 2} .2259377{col 26}{space 2} .0175751{col 37}{space 1}   12.86{col 46}{space 3}0.000{col 54}{space 4} .1914527{col 67}{space 3} .2604228
{txt}{space 5}11#Low  {c |}{col 14}{res}{space 2} .1537825{col 26}{space 2}  .017602{col 37}{space 1}    8.74{col 46}{space 3}0.000{col 54}{space 4} .1192446{col 67}{space 3} .1883205
{txt}{space 1}11#Control  {c |}{col 14}{res}{space 2} .1244728{col 26}{space 2} .0172809{col 37}{space 1}    7.20{col 46}{space 3}0.000{col 54}{space 4}  .090565{col 67}{space 3} .1583807
{txt}{space 4}12#High  {c |}{col 14}{res}{space 2}  .214674{col 26}{space 2} .0166016{col 37}{space 1}   12.93{col 46}{space 3}0.000{col 54}{space 4} .1820991{col 67}{space 3} .2472489
{txt}{space 5}12#Low  {c |}{col 14}{res}{space 2} .1462227{col 26}{space 2}  .016675{col 37}{space 1}    8.77{col 46}{space 3}0.000{col 54}{space 4} .1135037{col 67}{space 3} .1789416
{txt}{space 1}12#Control  {c |}{col 14}{res}{space 2} .1233208{col 26}{space 2} .0164553{col 37}{space 1}    7.49{col 46}{space 3}0.000{col 54}{space 4} .0910329{col 67}{space 3} .1556087
{txt}{space 4}13#High  {c |}{col 14}{res}{space 2} .2034103{col 26}{space 2} .0158012{col 37}{space 1}   12.87{col 46}{space 3}0.000{col 54}{space 4} .1724058{col 67}{space 3} .2344149
{txt}{space 5}13#Low  {c |}{col 14}{res}{space 2} .1386628{col 26}{space 2} .0159673{col 37}{space 1}    8.68{col 46}{space 3}0.000{col 54}{space 4} .1073324{col 67}{space 3} .1699933
{txt}{space 1}13#Control  {c |}{col 14}{res}{space 2} .1221688{col 26}{space 2} .0158462{col 37}{space 1}    7.71{col 46}{space 3}0.000{col 54}{space 4} .0910761{col 67}{space 3} .1532614
{txt}{space 4}14#High  {c |}{col 14}{res}{space 2} .1921466{col 26}{space 2} .0152015{col 37}{space 1}   12.64{col 46}{space 3}0.000{col 54}{space 4} .1623189{col 67}{space 3} .2219743
{txt}{space 5}14#Low  {c |}{col 14}{res}{space 2}  .131103{col 26}{space 2} .0155092{col 37}{space 1}    8.45{col 46}{space 3}0.000{col 54}{space 4} .1006714{col 67}{space 3} .1615345
{txt}{space 1}14#Control  {c |}{col 14}{res}{space 2} .1210167{col 26}{space 2}  .015479{col 37}{space 1}    7.82{col 46}{space 3}0.000{col 54}{space 4} .0906444{col 67}{space 3} .1513891
{txt}{space 4}15#High  {c |}{col 14}{res}{space 2} .1808829{col 26}{space 2} .0148266{col 37}{space 1}   12.20{col 46}{space 3}0.000{col 54}{space 4} .1517907{col 67}{space 3} .2099751
{txt}{space 5}15#Low  {c |}{col 14}{res}{space 2} .1235431{col 26}{space 2}  .015323{col 37}{space 1}    8.06{col 46}{space 3}0.000{col 54}{space 4}  .093477{col 67}{space 3} .1536092
{txt}{space 1}15#Control  {c |}{col 14}{res}{space 2} .1198647{col 26}{space 2} .0153713{col 37}{space 1}    7.80{col 46}{space 3}0.000{col 54}{space 4} .0897039{col 67}{space 3} .1500256
{txt}{space 4}16#High  {c |}{col 14}{res}{space 2} .1696192{col 26}{space 2} .0146939{col 37}{space 1}   11.54{col 46}{space 3}0.000{col 54}{space 4} .1407874{col 67}{space 3}  .198451
{txt}{space 5}16#Low  {c |}{col 14}{res}{space 2} .1159833{col 26}{space 2} .0154185{col 37}{space 1}    7.52{col 46}{space 3}0.000{col 54}{space 4} .0857298{col 67}{space 3} .1462368
{txt}{space 1}16#Control  {c |}{col 14}{res}{space 2} .1187127{col 26}{space 2} .0155282{col 37}{space 1}    7.64{col 46}{space 3}0.000{col 54}{space 4} .0882438{col 67}{space 3} .1491816
{txt}{space 4}17#High  {c |}{col 14}{res}{space 2} .1583555{col 26}{space 2} .0148098{col 37}{space 1}   10.69{col 46}{space 3}0.000{col 54}{space 4} .1292963{col 67}{space 3} .1874147
{txt}{space 5}17#Low  {c |}{col 14}{res}{space 2} .1084234{col 26}{space 2} .0157906{col 37}{space 1}    6.87{col 46}{space 3}0.000{col 54}{space 4} .0774397{col 67}{space 3} .1394071
{txt}{space 1}17#Control  {c |}{col 14}{res}{space 2} .1175607{col 26}{space 2} .0159422{col 37}{space 1}    7.37{col 46}{space 3}0.000{col 54}{space 4} .0862796{col 67}{space 3} .1488418
{txt}{space 4}18#High  {c |}{col 14}{res}{space 2} .1470918{col 26}{space 2} .0151687{col 37}{space 1}    9.70{col 46}{space 3}0.000{col 54}{space 4} .1173284{col 67}{space 3} .1768552
{txt}{space 5}18#Low  {c |}{col 14}{res}{space 2} .1008636{col 26}{space 2} .0164206{col 37}{space 1}    6.14{col 46}{space 3}0.000{col 54}{space 4} .0686438{col 67}{space 3} .1330834
{txt}{space 1}18#Control  {c |}{col 14}{res}{space 2} .1164087{col 26}{space 2} .0165938{col 37}{space 1}    7.02{col 46}{space 3}0.000{col 54}{space 4} .0838489{col 67}{space 3} .1489684
{txt}{space 4}19#High  {c |}{col 14}{res}{space 2} .1358281{col 26}{space 2} .0157539{col 37}{space 1}    8.62{col 46}{space 3}0.000{col 54}{space 4} .1049163{col 67}{space 3} .1667398
{txt}{space 5}19#Low  {c |}{col 14}{res}{space 2} .0933037{col 26}{space 2} .0172802{col 37}{space 1}    5.40{col 46}{space 3}0.000{col 54}{space 4} .0593972{col 67}{space 3} .1272103
{txt}{space 1}19#Control  {c |}{col 14}{res}{space 2} .1152567{col 26}{space 2} .0174566{col 37}{space 1}    6.60{col 46}{space 3}0.000{col 54}{space 4}  .081004{col 67}{space 3} .1495093
{txt}{space 4}20#High  {c |}{col 14}{res}{space 2} .1245643{col 26}{space 2} .0165415{col 37}{space 1}    7.53{col 46}{space 3}0.000{col 54}{space 4} .0921073{col 67}{space 3} .1570214
{txt}{space 5}20#Low  {c |}{col 14}{res}{space 2} .0857439{col 26}{space 2} .0183372{col 37}{space 1}    4.68{col 46}{space 3}0.000{col 54}{space 4} .0497633{col 67}{space 3} .1217244
{txt}{space 1}20#Control  {c |}{col 14}{res}{space 2} .1141046{col 26}{space 2}  .018501{col 37}{space 1}    6.17{col 46}{space 3}0.000{col 54}{space 4} .0778027{col 67}{space 3} .1504066
{txt}{space 4}21#High  {c |}{col 14}{res}{space 2} .1133006{col 26}{space 2} .0175041{col 37}{space 1}    6.47{col 46}{space 3}0.000{col 54}{space 4} .0789547{col 67}{space 3} .1476465
{txt}{space 5}21#Low  {c |}{col 14}{res}{space 2}  .078184{col 26}{space 2} .0195597{col 37}{space 1}    4.00{col 46}{space 3}0.000{col 54}{space 4} .0398048{col 67}{space 3} .1165632
{txt}{space 1}21#Control  {c |}{col 14}{res}{space 2} .1129526{col 26}{space 2} .0196982{col 37}{space 1}    5.73{col 46}{space 3}0.000{col 54}{space 4} .0743017{col 67}{space 3} .1516036
{txt}{space 4}22#High  {c |}{col 14}{res}{space 2} .1020369{col 26}{space 2} .0186147{col 37}{space 1}    5.48{col 46}{space 3}0.000{col 54}{space 4}  .065512{col 67}{space 3} .1385619
{txt}{space 5}22#Low  {c |}{col 14}{res}{space 2} .0706242{col 26}{space 2} .0209185{col 37}{space 1}    3.38{col 46}{space 3}0.001{col 54}{space 4} .0295787{col 67}{space 3} .1116697
{txt}{space 1}22#Control  {c |}{col 14}{res}{space 2} .1118006{col 26}{space 2}  .021022{col 37}{space 1}    5.32{col 46}{space 3}0.000{col 54}{space 4} .0705521{col 67}{space 3} .1530491
{txt}{space 4}23#High  {c |}{col 14}{res}{space 2} .0907732{col 26}{space 2} .0198483{col 37}{space 1}    4.57{col 46}{space 3}0.000{col 54}{space 4} .0518276{col 67}{space 3} .1297188
{txt}{space 5}23#Low  {c |}{col 14}{res}{space 2} .0630643{col 26}{space 2}  .022389{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .0191335{col 67}{space 3} .1069951
{txt}{space 1}23#Control  {c |}{col 14}{res}{space 2} .1106486{col 26}{space 2} .0224501{col 37}{space 1}    4.93{col 46}{space 3}0.000{col 54}{space 4}  .066598{col 67}{space 3} .1546992
{txt}{space 4}24#High  {c |}{col 14}{res}{space 2} .0795095{col 26}{space 2} .0211836{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4} .0379439{col 67}{space 3} .1210751
{txt}{space 5}24#Low  {c |}{col 14}{res}{space 2} .0555045{col 26}{space 2} .0239506{col 37}{space 1}    2.32{col 46}{space 3}0.021{col 54}{space 4} .0085097{col 67}{space 3} .1024993
{txt}{space 1}24#Control  {c |}{col 14}{res}{space 2} .1094966{col 26}{space 2} .0239638{col 37}{space 1}    4.57{col 46}{space 3}0.000{col 54}{space 4} .0624758{col 67}{space 3} .1565173
{txt}{space 4}25#High  {c |}{col 14}{res}{space 2} .0682458{col 26}{space 2} .0226025{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} .0238962{col 67}{space 3} .1125954
{txt}{space 5}25#Low  {c |}{col 14}{res}{space 2} .0479446{col 26}{space 2} .0255865{col 37}{space 1}    1.87{col 46}{space 3}0.061{col 54}{space 4}-.0022602{col 67}{space 3} .0981493
{txt}{space 1}25#Control  {c |}{col 14}{res}{space 2} .1083445{col 26}{space 2} .0255479{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4} .0582155{col 67}{space 3} .1584736
{txt}{space 4}26#High  {c |}{col 14}{res}{space 2} .0569821{col 26}{space 2} .0240902{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} .0097133{col 67}{space 3} .1042508
{txt}{space 5}26#Low  {c |}{col 14}{res}{space 2} .0403847{col 26}{space 2} .0272834{col 37}{space 1}    1.48{col 46}{space 3}0.139{col 54}{space 4}-.0131497{col 67}{space 3} .0939192
{txt}{space 1}26#Control  {c |}{col 14}{res}{space 2} .1071925{col 26}{space 2} .0271902{col 37}{space 1}    3.94{col 46}{space 3}0.000{col 54}{space 4} .0538411{col 67}{space 3} .1605439
{txt}{space 4}27#High  {c |}{col 14}{res}{space 2} .0457184{col 26}{space 2} .0256347{col 37}{space 1}    1.78{col 46}{space 3}0.075{col 54}{space 4} -.004581{col 67}{space 3} .0960178
{txt}{space 5}27#Low  {c |}{col 14}{res}{space 2} .0328249{col 26}{space 2} .0290307{col 37}{space 1}    1.13{col 46}{space 3}0.258{col 54}{space 4}-.0241379{col 67}{space 3} .0897877
{txt}{space 1}27#Control  {c |}{col 14}{res}{space 2} .1060405{col 26}{space 2} .0288806{col 37}{space 1}    3.67{col 46}{space 3}0.000{col 54}{space 4} .0493722{col 67}{space 3} .1627088
{txt}{space 4}28#High  {c |}{col 14}{res}{space 2} .0344547{col 26}{space 2} .0272265{col 37}{space 1}    1.27{col 46}{space 3}0.206{col 54}{space 4} -.018968{col 67}{space 3} .0878773
{txt}{space 5}28#Low  {c |}{col 14}{res}{space 2}  .025265{col 26}{space 2} .0308197{col 37}{space 1}    0.82{col 46}{space 3}0.413{col 54}{space 4}-.0352081{col 67}{space 3} .0857382
{txt}{space 1}28#Control  {c |}{col 14}{res}{space 2} .1048885{col 26}{space 2} .0306113{col 37}{space 1}    3.43{col 46}{space 3}0.001{col 54}{space 4} .0448243{col 67}{space 3} .1649526
{txt}{space 4}29#High  {c |}{col 14}{res}{space 2}  .023191{col 26}{space 2} .0288576{col 37}{space 1}    0.80{col 46}{space 3}0.422{col 54}{space 4}-.0334322{col 67}{space 3} .0798141
{txt}{space 5}29#Low  {c |}{col 14}{res}{space 2} .0177052{col 26}{space 2} .0326436{col 37}{space 1}    0.54{col 46}{space 3}0.588{col 54}{space 4}-.0463468{col 67}{space 3} .0817571
{txt}{space 1}29#Control  {c |}{col 14}{res}{space 2} .1037365{col 26}{space 2} .0323757{col 37}{space 1}    3.20{col 46}{space 3}0.001{col 54}{space 4} .0402102{col 67}{space 3} .1672627
{txt}{space 4}30#High  {c |}{col 14}{res}{space 2} .0119272{col 26}{space 2} .0305218{col 37}{space 1}    0.39{col 46}{space 3}0.696{col 54}{space 4}-.0479613{col 67}{space 3} .0718158
{txt}{space 5}30#Low  {c |}{col 14}{res}{space 2} .0101453{col 26}{space 2} .0344969{col 37}{space 1}    0.29{col 46}{space 3}0.769{col 54}{space 4} -.057543{col 67}{space 3} .0778337
{txt}{space 1}30#Control  {c |}{col 14}{res}{space 2} .1025844{col 26}{space 2} .0341687{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} .0355401{col 67}{space 3} .1696288
{txt}{space 4}31#High  {c |}{col 14}{res}{space 2} .0006635{col 26}{space 2} .0322139{col 37}{space 1}    0.02{col 46}{space 3}0.984{col 54}{space 4}-.0625452{col 67}{space 3} .0638723
{txt}{space 5}31#Low  {c |}{col 14}{res}{space 2} .0025855{col 26}{space 2}  .036375{col 37}{space 1}    0.07{col 46}{space 3}0.943{col 54}{space 4}-.0687881{col 67}{space 3} .0739591
{txt}{space 1}31#Control  {c |}{col 14}{res}{space 2} .1014324{col 26}{space 2} .0359859{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .0308224{col 67}{space 3} .1720425
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%60)) recastci(rarea) ///
>         xlabel(1(1)7) xscale(r(1 7)) title("") ///
>         xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ytitle("Pr - {c -(}it:Liking SD{c )-}")  ylabel(0(.1)0.4) graphregion(c(white)) ///
>         yline(0) scheme(s2mono) name(A5_1, replace) plot2opts(lpattern(longdash)) ///
>         plot3opts(lpattern(dash)) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  xlabel(1(1)7) fcolor(gray%20)  ///
>         ytitle("Percentage of Observations", axis(2))lcolor(black%30) leg(off)  /// 
>         yscale(alt axis(2))) ylabel(0(.1)0.4) xlabel(1(1)7) xscale(r(1 7)) ///
>         note("(9.1)", position(11))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp group}{p_end}
{res}{txt}
{com}.         
. reg likesd i.group##c.mcp anti_immi left_right sex polint unemp edu

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,094
{txt}{hline 13}{c +}{hline 34}   F(11, 1082)     = {res}    44.19
{txt}       Model {c |} {res} 40.3480489        11  3.66800444   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 89.8100864     1,082  .083003777   {txt}R-squared       ={res}    0.3100
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3030
{txt}       Total {c |} {res} 130.158135     1,093  .119083381   {txt}Root MSE        =   {res}  .2881

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      likesd{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}group {c |}
{space 8}Low  {c |}{col 14}{res}{space 2}-.1277131{col 26}{space 2} .0569651{col 37}{space 1}   -2.24{col 46}{space 3}0.025{col 54}{space 4}-.2394877{col 67}{space 3}-.0159384
{txt}{space 4}Control  {c |}{col 14}{res}{space 2}-.2531403{col 26}{space 2} .0558833{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.3627922{col 67}{space 3}-.1434884
{txt}{space 12} {c |}
{space 9}mcp {c |}{col 14}{res}{space 2}-.0563186{col 26}{space 2} .0095775{col 37}{space 1}   -5.88{col 46}{space 3}0.000{col 54}{space 4}-.0751111{col 67}{space 3} -.037526
{txt}{space 12} {c |}
{space 1}group#c.mcp {c |}
{space 8}Low  {c |}{col 14}{res}{space 2} .0185193{col 26}{space 2}   .01351{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4}-.0079895{col 67}{space 3} .0450281
{txt}{space 4}Control  {c |}{col 14}{res}{space 2} .0505585{col 26}{space 2} .0132924{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .0244766{col 67}{space 3} .0766403
{txt}{space 12} {c |}
{space 3}anti_immi {c |}{col 14}{res}{space 2} .0637786{col 26}{space 2} .0056903{col 37}{space 1}   11.21{col 46}{space 3}0.000{col 54}{space 4} .0526133{col 67}{space 3} .0749439
{txt}{space 2}left_right {c |}{col 14}{res}{space 2}  .026865{col 26}{space 2} .0066835{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4} .0137509{col 67}{space 3}  .039979
{txt}{space 9}sex {c |}{col 14}{res}{space 2}-.0157245{col 26}{space 2} .0186789{col 37}{space 1}   -0.84{col 46}{space 3}0.400{col 54}{space 4}-.0523755{col 67}{space 3} .0209265
{txt}{space 6}polint {c |}{col 14}{res}{space 2}-.0477134{col 26}{space 2} .0143478{col 37}{space 1}   -3.33{col 46}{space 3}0.001{col 54}{space 4}-.0758659{col 67}{space 3}-.0195608
{txt}{space 7}unemp {c |}{col 14}{res}{space 2} .0123472{col 26}{space 2} .0180208{col 37}{space 1}    0.69{col 46}{space 3}0.493{col 54}{space 4}-.0230123{col 67}{space 3} .0477068
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-.0189438{col 26}{space 2} .0045534{col 37}{space 1}   -4.16{col 46}{space 3}0.000{col 54}{space 4}-.0278782{col 67}{space 3}-.0100094
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2356731{col 26}{space 2} .0685557{col 37}{space 1}    3.44{col 46}{space 3}0.001{col 54}{space 4} .1011559{col 67}{space 3} .3701903
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins  r.group, at(mcp=(1(0.2)7)) 
{res}
{txt}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,094}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.2}}
{lalign 8:3._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.4}}
{lalign 8:4._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.6}}
{lalign 8:5._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.8}}
{lalign 8:6._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2}}
{lalign 8:7._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.2}}
{lalign 8:8._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.4}}
{lalign 8:9._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.6}}
{lalign 8:10._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.8}}
{lalign 8:11._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3}}
{lalign 8:12._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.2}}
{lalign 8:13._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.4}}
{lalign 8:14._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.6}}
{lalign 8:15._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.8}}
{lalign 8:16._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4}}
{lalign 8:17._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.2}}
{lalign 8:18._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.4}}
{lalign 8:19._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.6}}
{lalign 8:20._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.8}}
{lalign 8:21._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5}}
{lalign 8:22._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.2}}
{lalign 8:23._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.4}}
{lalign 8:24._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.6}}
{lalign 8:25._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.8}}
{lalign 8:26._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6}}
{lalign 8:27._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.2}}
{lalign 8:28._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.4}}
{lalign 8:29._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.6}}
{lalign 8:30._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.8}}
{lalign 8:31._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:7}}

{res}{col 1}{text}{hline 22}{c TT}{hline 11}{hline 12}{hline 11}
{col 23}{text}{c |}         df{col 35}           F{col 47}        P>F
{res}{col 1}{text}{hline 22}{c +}{hline 11}{hline 12}{hline 11}
{space 12}group@_at {c |}
{space 4}(Low vs High)  1  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     5.96{col 47}{space 2}   0.0148
{txt}{space 4}(Low vs High)  2  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     6.20{col 47}{space 2}   0.0129
{txt}{space 4}(Low vs High)  3  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     6.46{col 47}{space 2}   0.0112
{txt}{space 4}(Low vs High)  4  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     6.74{col 47}{space 2}   0.0096
{txt}{space 4}(Low vs High)  5  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     7.03{col 47}{space 2}   0.0081
{txt}{space 4}(Low vs High)  6  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     7.34{col 47}{space 2}   0.0069
{txt}{space 4}(Low vs High)  7  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     7.66{col 47}{space 2}   0.0058
{txt}{space 4}(Low vs High)  8  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     7.96{col 47}{space 2}   0.0049
{txt}{space 4}(Low vs High)  9  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     8.25{col 47}{space 2}   0.0042
{txt}{space 4}(Low vs High) 10  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     8.47{col 47}{space 2}   0.0037
{txt}{space 4}(Low vs High) 11  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     8.60{col 47}{space 2}   0.0034
{txt}{space 4}(Low vs High) 12  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     8.58{col 47}{space 2}   0.0035
{txt}{space 4}(Low vs High) 13  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     8.36{col 47}{space 2}   0.0039
{txt}{space 4}(Low vs High) 14  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     7.90{col 47}{space 2}   0.0050
{txt}{space 4}(Low vs High) 15  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     7.20{col 47}{space 2}   0.0074
{txt}{space 4}(Low vs High) 16  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     6.31{col 47}{space 2}   0.0121
{txt}{space 4}(Low vs High) 17  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     5.31{col 47}{space 2}   0.0214
{txt}{space 4}(Low vs High) 18  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     4.29{col 47}{space 2}   0.0385
{txt}{space 4}(Low vs High) 19  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     3.34{col 47}{space 2}   0.0678
{txt}{space 4}(Low vs High) 20  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     2.52{col 47}{space 2}   0.1129
{txt}{space 4}(Low vs High) 21  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     1.84{col 47}{space 2}   0.1754
{txt}{space 4}(Low vs High) 22  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     1.30{col 47}{space 2}   0.2540
{txt}{space 4}(Low vs High) 23  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     0.89{col 47}{space 2}   0.3447
{txt}{space 4}(Low vs High) 24  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     0.59{col 47}{space 2}   0.4422
{txt}{space 4}(Low vs High) 25  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     0.37{col 47}{space 2}   0.5417
{txt}{space 4}(Low vs High) 26  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     0.22{col 47}{space 2}   0.6390
{txt}{space 4}(Low vs High) 27  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     0.12{col 47}{space 2}   0.7315
{txt}{space 4}(Low vs High) 28  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     0.05{col 47}{space 2}   0.8175
{txt}{space 4}(Low vs High) 29  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     0.02{col 47}{space 2}   0.8964
{txt}{space 4}(Low vs High) 30  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     0.00{col 47}{space 2}   0.9680
{txt}{space 4}(Low vs High) 31  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     0.00{col 47}{space 2}   0.9673
{txt}(Control vs High)  1  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}    21.30{col 47}{space 2}   0.0000
{txt}(Control vs High)  2  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}    21.42{col 47}{space 2}   0.0000
{txt}(Control vs High)  3  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}    21.49{col 47}{space 2}   0.0000
{txt}(Control vs High)  4  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}    21.52{col 47}{space 2}   0.0000
{txt}(Control vs High)  5  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}    21.48{col 47}{space 2}   0.0000
{txt}(Control vs High)  6  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}    21.32{col 47}{space 2}   0.0000
{txt}(Control vs High)  7  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}    21.03{col 47}{space 2}   0.0000
{txt}(Control vs High)  8  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}    20.54{col 47}{space 2}   0.0000
{txt}(Control vs High)  9  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}    19.81{col 47}{space 2}   0.0000
{txt}(Control vs High) 10  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}    18.75{col 47}{space 2}   0.0000
{txt}(Control vs High) 11  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}    17.32{col 47}{space 2}   0.0000
{txt}(Control vs High) 12  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}    15.49{col 47}{space 2}   0.0001
{txt}(Control vs High) 13  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}    13.27{col 47}{space 2}   0.0003
{txt}(Control vs High) 14  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}    10.76{col 47}{space 2}   0.0011
{txt}(Control vs High) 15  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     8.15{col 47}{space 2}   0.0044
{txt}(Control vs High) 16  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     5.66{col 47}{space 2}   0.0176
{txt}(Control vs High) 17  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     3.52{col 47}{space 2}   0.0610
{txt}(Control vs High) 18  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     1.87{col 47}{space 2}   0.1714
{txt}(Control vs High) 19  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     0.77{col 47}{space 2}   0.3789
{txt}(Control vs High) 20  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     0.18{col 47}{space 2}   0.6704
{txt}(Control vs High) 21  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     0.00{col 47}{space 2}   0.9893
{txt}(Control vs High) 22  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     0.13{col 47}{space 2}   0.7235
{txt}(Control vs High) 23  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     0.46{col 47}{space 2}   0.4984
{txt}(Control vs High) 24  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     0.92{col 47}{space 2}   0.3372
{txt}(Control vs High) 25  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     1.46{col 47}{space 2}   0.2277
{txt}(Control vs High) 26  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     2.02{col 47}{space 2}   0.1552
{txt}(Control vs High) 27  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     2.59{col 47}{space 2}   0.1075
{txt}(Control vs High) 28  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     3.15{col 47}{space 2}   0.0760
{txt}(Control vs High) 29  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     3.69{col 47}{space 2}   0.0550
{txt}(Control vs High) 30  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     4.20{col 47}{space 2}   0.0407
{txt}(Control vs High) 31  {res}{col 23}{text}{c |}{result}{space 2}        1{col 35}{space 3}     4.68{col 47}{space 2}   0.0307
{col 1}{text}               Joint {col 23}{c |}{result}{space 2}        4{col 35}{space 3}     5.91{col 47}{space 2}   0.0001
{col 23}{text}{c |}
{res}{col 1}{text}          Denominator{col 23}{c |}{result}{space 2}     1082
{col 1}{text}{hline 22}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 23}{c |}{col 35} Delta-method
{col 23}{c |}   Contrast{col 35}   std. err.{col 47}     [95% con{col 60}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 12}group@_at {c |}
{space 4}(Low vs High)  1  {c |}{col 23}{res}{space 2}-.1091938{col 35}{space 2} .0447225{col 46}{space 5}-.1969465{col 60}{space 3}-.0214411
{txt}{space 4}(Low vs High)  2  {c |}{col 23}{res}{space 2}-.1054899{col 35}{space 2} .0423665{col 46}{space 5}-.1886198{col 60}{space 3}-.0223601
{txt}{space 4}(Low vs High)  3  {c |}{col 23}{res}{space 2}-.1017861{col 35}{space 2} .0400543{col 46}{space 5}-.1803789{col 60}{space 3}-.0231932
{txt}{space 4}(Low vs High)  4  {c |}{col 23}{res}{space 2}-.0980822{col 35}{space 2} .0377938{col 46}{space 5}-.1722396{col 60}{space 3}-.0239248
{txt}{space 4}(Low vs High)  5  {c |}{col 23}{res}{space 2}-.0943784{col 35}{space 2} .0355949{col 46}{space 5}-.1642211{col 60}{space 3}-.0245356
{txt}{space 4}(Low vs High)  6  {c |}{col 23}{res}{space 2}-.0906745{col 35}{space 2} .0334697{col 46}{space 5}-.1563474{col 60}{space 3}-.0250016
{txt}{space 4}(Low vs High)  7  {c |}{col 23}{res}{space 2}-.0869706{col 35}{space 2} .0314332{col 46}{space 5}-.1486477{col 60}{space 3}-.0252936
{txt}{space 4}(Low vs High)  8  {c |}{col 23}{res}{space 2}-.0832668{col 35}{space 2} .0295039{col 46}{space 5}-.1411581{col 60}{space 3}-.0253755
{txt}{space 4}(Low vs High)  9  {c |}{col 23}{res}{space 2}-.0795629{col 35}{space 2}  .027704{col 46}{space 5}-.1339225{col 60}{space 3}-.0252033
{txt}{space 4}(Low vs High) 10  {c |}{col 23}{res}{space 2}-.0758591{col 35}{space 2} .0260604{col 46}{space 5}-.1269937{col 60}{space 3}-.0247244
{txt}{space 4}(Low vs High) 11  {c |}{col 23}{res}{space 2}-.0721552{col 35}{space 2} .0246044{col 46}{space 5} -.120433{col 60}{space 3}-.0238774
{txt}{space 4}(Low vs High) 12  {c |}{col 23}{res}{space 2}-.0684514{col 35}{space 2} .0233713{col 46}{space 5}-.1143095{col 60}{space 3}-.0225932
{txt}{space 4}(Low vs High) 13  {c |}{col 23}{res}{space 2}-.0647475{col 35}{space 2} .0223976{col 46}{space 5}-.1086952{col 60}{space 3}-.0207998
{txt}{space 4}(Low vs High) 14  {c |}{col 23}{res}{space 2}-.0610436{col 35}{space 2} .0217185{col 46}{space 5}-.1036588{col 60}{space 3}-.0184285
{txt}{space 4}(Low vs High) 15  {c |}{col 23}{res}{space 2}-.0573398{col 35}{space 2}  .021362{col 46}{space 5}-.0992554{col 60}{space 3}-.0154241
{txt}{space 4}(Low vs High) 16  {c |}{col 23}{res}{space 2}-.0536359{col 35}{space 2} .0213443{col 46}{space 5}-.0955168{col 60}{space 3} -.011755
{txt}{space 4}(Low vs High) 17  {c |}{col 23}{res}{space 2}-.0499321{col 35}{space 2} .0216662{col 46}{space 5}-.0924446{col 60}{space 3}-.0074196
{txt}{space 4}(Low vs High) 18  {c |}{col 23}{res}{space 2}-.0462282{col 35}{space 2}  .022313{col 46}{space 5}-.0900098{col 60}{space 3}-.0024465
{txt}{space 4}(Low vs High) 19  {c |}{col 23}{res}{space 2}-.0425243{col 35}{space 2} .0232576{col 46}{space 5}-.0881595{col 60}{space 3} .0031109
{txt}{space 4}(Low vs High) 20  {c |}{col 23}{res}{space 2}-.0388205{col 35}{space 2} .0244656{col 46}{space 5} -.086826{col 60}{space 3}  .009185
{txt}{space 4}(Low vs High) 21  {c |}{col 23}{res}{space 2}-.0351166{col 35}{space 2} .0259002{col 46}{space 5}-.0859369{col 60}{space 3} .0157036
{txt}{space 4}(Low vs High) 22  {c |}{col 23}{res}{space 2}-.0314128{col 35}{space 2} .0275258{col 46}{space 5}-.0854229{col 60}{space 3} .0225973
{txt}{space 4}(Low vs High) 23  {c |}{col 23}{res}{space 2}-.0277089{col 35}{space 2} .0293109{col 46}{space 5}-.0852215{col 60}{space 3} .0298037
{txt}{space 4}(Low vs High) 24  {c |}{col 23}{res}{space 2}-.0240051{col 35}{space 2} .0312279{col 46}{space 5}-.0852792{col 60}{space 3} .0372691
{txt}{space 4}(Low vs High) 25  {c |}{col 23}{res}{space 2}-.0203012{col 35}{space 2} .0332542{col 46}{space 5}-.0855512{col 60}{space 3} .0449488
{txt}{space 4}(Low vs High) 26  {c |}{col 23}{res}{space 2}-.0165973{col 35}{space 2} .0353709{col 46}{space 5}-.0860007{col 60}{space 3}  .052806
{txt}{space 4}(Low vs High) 27  {c |}{col 23}{res}{space 2}-.0128935{col 35}{space 2} .0375628{col 46}{space 5}-.0865976{col 60}{space 3} .0608107
{txt}{space 4}(Low vs High) 28  {c |}{col 23}{res}{space 2}-.0091896{col 35}{space 2} .0398174{col 46}{space 5}-.0873177{col 60}{space 3} .0689385
{txt}{space 4}(Low vs High) 29  {c |}{col 23}{res}{space 2}-.0054858{col 35}{space 2} .0421247{col 46}{space 5}-.0881411{col 60}{space 3} .0771696
{txt}{space 4}(Low vs High) 30  {c |}{col 23}{res}{space 2}-.0017819{col 35}{space 2} .0444765{col 46}{space 5}-.0890518{col 60}{space 3}  .085488
{txt}{space 4}(Low vs High) 31  {c |}{col 23}{res}{space 2}  .001922{col 35}{space 2}  .046866{col 46}{space 5}-.0900366{col 60}{space 3} .0938806
{txt}(Control vs High)  1  {c |}{col 23}{res}{space 2}-.2025819{col 35}{space 2} .0438939{col 46}{space 5}-.2887086{col 60}{space 3}-.1164551
{txt}(Control vs High)  2  {c |}{col 23}{res}{space 2}-.1924702{col 35}{space 2} .0415911{col 46}{space 5}-.2740786{col 60}{space 3}-.1108618
{txt}(Control vs High)  3  {c |}{col 23}{res}{space 2}-.1823585{col 35}{space 2} .0393333{col 46}{space 5}-.2595366{col 60}{space 3}-.1051803
{txt}(Control vs High)  4  {c |}{col 23}{res}{space 2}-.1722468{col 35}{space 2} .0371286{col 46}{space 5}-.2450989{col 60}{space 3}-.0993947
{txt}(Control vs High)  5  {c |}{col 23}{res}{space 2}-.1621351{col 35}{space 2} .0349869{col 46}{space 5} -.230785{col 60}{space 3}-.0934852
{txt}(Control vs High)  6  {c |}{col 23}{res}{space 2}-.1520234{col 35}{space 2} .0329208{col 46}{space 5}-.2166192{col 60}{space 3}-.0874276
{txt}(Control vs High)  7  {c |}{col 23}{res}{space 2}-.1419117{col 35}{space 2} .0309452{col 46}{space 5} -.202631{col 60}{space 3}-.0811924
{txt}(Control vs High)  8  {c |}{col 23}{res}{space 2}   -.1318{col 35}{space 2} .0290786{col 46}{space 5}-.1888569{col 60}{space 3}-.0747432
{txt}(Control vs High)  9  {c |}{col 23}{res}{space 2}-.1216883{col 35}{space 2} .0273434{col 46}{space 5}-.1753405{col 60}{space 3}-.0680362
{txt}(Control vs High) 10  {c |}{col 23}{res}{space 2}-.1115766{col 35}{space 2} .0257661{col 46}{space 5}-.1621339{col 60}{space 3}-.0610194
{txt}(Control vs High) 11  {c |}{col 23}{res}{space 2}-.1014649{col 35}{space 2} .0243775{col 46}{space 5}-.1492974{col 60}{space 3}-.0536325
{txt}(Control vs High) 12  {c |}{col 23}{res}{space 2}-.0913532{col 35}{space 2} .0232113{col 46}{space 5}-.1368975{col 60}{space 3} -.045809
{txt}(Control vs High) 13  {c |}{col 23}{res}{space 2}-.0812415{col 35}{space 2} .0223025{col 46}{space 5}-.1250026{col 60}{space 3}-.0374805
{txt}(Control vs High) 14  {c |}{col 23}{res}{space 2}-.0711299{col 35}{space 2} .0216835{col 46}{space 5}-.1136763{col 60}{space 3}-.0285834
{txt}(Control vs High) 15  {c |}{col 23}{res}{space 2}-.0610182{col 35}{space 2} .0213795{col 46}{space 5}-.1029681{col 60}{space 3}-.0190683
{txt}(Control vs High) 16  {c |}{col 23}{res}{space 2}-.0509065{col 35}{space 2} .0214038{col 46}{space 5}-.0929042{col 60}{space 3}-.0089088
{txt}(Control vs High) 17  {c |}{col 23}{res}{space 2}-.0407948{col 35}{space 2} .0217555{col 46}{space 5}-.0834825{col 60}{space 3} .0018929
{txt}(Control vs High) 18  {c |}{col 23}{res}{space 2}-.0306831{col 35}{space 2} .0224191{col 46}{space 5}-.0746729{col 60}{space 3} .0133067
{txt}(Control vs High) 19  {c |}{col 23}{res}{space 2}-.0205714{col 35}{space 2}  .023368{col 46}{space 5}-.0664231{col 60}{space 3} .0252803
{txt}(Control vs High) 20  {c |}{col 23}{res}{space 2}-.0104597{col 35}{space 2} .0245692{col 46}{space 5}-.0586684{col 60}{space 3}  .037749
{txt}(Control vs High) 21  {c |}{col 23}{res}{space 2} -.000348{col 35}{space 2} .0259878{col 46}{space 5}-.0513401{col 60}{space 3} .0506441
{txt}(Control vs High) 22  {c |}{col 23}{res}{space 2} .0097637{col 35}{space 2} .0275902{col 46}{space 5}-.0443726{col 60}{space 3}    .0639
{txt}(Control vs High) 23  {c |}{col 23}{res}{space 2} .0198754{col 35}{space 2} .0293463{col 46}{space 5}-.0377068{col 60}{space 3} .0774575
{txt}(Control vs High) 24  {c |}{col 23}{res}{space 2} .0299871{col 35}{space 2} .0312303{col 46}{space 5}-.0312917{col 60}{space 3} .0912658
{txt}(Control vs High) 25  {c |}{col 23}{res}{space 2} .0400988{col 35}{space 2} .0332203{col 46}{space 5}-.0250848{col 60}{space 3} .1052823
{txt}(Control vs High) 26  {c |}{col 23}{res}{space 2} .0502104{col 35}{space 2} .0352985{col 46}{space 5}-.0190508{col 60}{space 3} .1194717
{txt}(Control vs High) 27  {c |}{col 23}{res}{space 2} .0603221{col 35}{space 2} .0374501{col 46}{space 5} -.013161{col 60}{space 3} .1338052
{txt}(Control vs High) 28  {c |}{col 23}{res}{space 2} .0704338{col 35}{space 2} .0396633{col 46}{space 5}-.0073918{col 60}{space 3} .1482595
{txt}(Control vs High) 29  {c |}{col 23}{res}{space 2} .0805455{col 35}{space 2} .0419282{col 46}{space 5}-.0017243{col 60}{space 3} .1628153
{txt}(Control vs High) 30  {c |}{col 23}{res}{space 2} .0906572{col 35}{space 2}  .044237{col 46}{space 5} .0038573{col 60}{space 3} .1774572
{txt}(Control vs High) 31  {c |}{col 23}{res}{space 2} .1007689{col 35}{space 2}  .046583{col 46}{space 5} .0093656{col 60}{space 3} .1921722
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%60)) recastci(rarea) xlabel(1(1)7) ///
>         xlabel(1(1)7) xscale(r(1 7)) title("")  ///
>         xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ytitle(" {c -(}&Delta{c )-}Pr of {c -(}it:Liking SD{c )-}" "(Contrasts between groups)") ///
>         graphregion(c(white)) plot2opts(lpattern(longdash)) ///
>         yline(0) scheme(s2mono) name(A5_2, replace) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  xlabel(1(1)7) fcolor(gray%20)  ///
>         ytitle("Percentage of Observations", axis(2))lcolor(black%30) leg(off)  /// 
>         yscale(alt axis(2)))  xlabel(1(1)7) xscale(r(1 7)) ///
>         note("(9.2)", position(11)) 
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp group}{p_end}
{res}{txt}
{com}.         
. graph combine A5_1 A5_2,  col(2) xsize(11) ysize(4) ///
>         graphregion(margin(zero)) scale(2) name(fig9, replace)  
{res}{txt}
{com}.  
. graph save fig9 "fig9.gph", replace
{txt}{p 0 4 2}
(file {bf}
fig9.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:fig9.gph} saved

{com}. graph export fig9.tif, replace
{txt}{p 0 4 2}
(file {bf}
fig9.tif{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fig9.tif{rm}
saved as
TIFF
format
{p_end}

{com}. graph close A5_1 A5_2   
{txt}
{com}. 
. **A6**
. eststo: quietly regress likesd_cont i.high mcp anti_immi left_right sex polint unemp edu
{txt}({res}est1{txt} stored)

{com}. eststo: quietly regress likesd_cont anti_immi i.high mcp left_right sex polint unemp edu i.high#c.mcp 
{txt}({res}est2{txt} stored)

{com}. esttab using A6.rtf, replace se label title(OLS - DV: Liking SD (continuous)\label{c -(}tab1{c )-})  
{res}{txt}{p 0 4 2}
(file {bf}
A6.rtf{rm}
not found)
{p_end}
(output written to {browse  `"A6.rtf"'})

{com}. eststo clear
{txt}
{com}. 
. reg likesd_cont i.high##c.mcp anti_immi left_right sex polint unemp edu

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,087
{txt}{hline 13}{c +}{hline 34}   F(9, 1077)      = {res}   139.75
{txt}       Model {c |} {res} 2470.88989         9  274.543322   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 2115.81664     1,077  1.96454655   {txt}R-squared       ={res}    0.5387
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.5349
{txt}       Total {c |} {res} 4586.70653     1,086  4.22348668   {txt}Root MSE        =   {res} 1.4016

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} likesd_cont{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.high {c |}{col 14}{res}{space 2} .6545675{col 26}{space 2} .2378108{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .1879424{col 67}{space 3} 1.121193
{txt}{space 9}mcp {c |}{col 14}{res}{space 2}-.1617663{col 26}{space 2} .0367856{col 37}{space 1}   -4.40{col 46}{space 3}0.000{col 54}{space 4} -.233946{col 67}{space 3}-.0895867
{txt}{space 12} {c |}
{space 2}high#c.mcp {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1130648{col 26}{space 2} .0559487{col 37}{space 1}   -2.02{col 46}{space 3}0.044{col 54}{space 4}-.2228456{col 67}{space 3} -.003284
{txt}{space 12} {c |}
{space 3}anti_immi {c |}{col 14}{res}{space 2}  .555263{col 26}{space 2} .0278252{col 37}{space 1}   19.96{col 46}{space 3}0.000{col 54}{space 4} .5006652{col 67}{space 3} .6098608
{txt}{space 2}left_right {c |}{col 14}{res}{space 2} .1833453{col 26}{space 2} .0325801{col 37}{space 1}    5.63{col 46}{space 3}0.000{col 54}{space 4} .1194177{col 67}{space 3} .2472729
{txt}{space 9}sex {c |}{col 14}{res}{space 2} .1753161{col 26}{space 2} .0911293{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4} -.003495{col 67}{space 3} .3541273
{txt}{space 6}polint {c |}{col 14}{res}{space 2} -.033022{col 26}{space 2} .0699783{col 37}{space 1}   -0.47{col 46}{space 3}0.637{col 54}{space 4}-.1703314{col 67}{space 3} .1042873
{txt}{space 7}unemp {c |}{col 14}{res}{space 2}-.0471086{col 26}{space 2} .0878948{col 37}{space 1}   -0.54{col 46}{space 3}0.592{col 54}{space 4}-.2195731{col 67}{space 3} .1253559
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-.1105843{col 26}{space 2} .0221862{col 37}{space 1}   -4.98{col 46}{space 3}0.000{col 54}{space 4}-.1541174{col 67}{space 3}-.0670512
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7084947{col 26}{space 2} .3046427{col 37}{space 1}    2.33{col 46}{space 3}0.020{col 54}{space 4} .1107341{col 67}{space 3} 1.306255
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins  high, at(mcp=(1(0.2)7)) 
{res}
{txt}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,087}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.2}}
{lalign 8:3._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.4}}
{lalign 8:4._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.6}}
{lalign 8:5._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.8}}
{lalign 8:6._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2}}
{lalign 8:7._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.2}}
{lalign 8:8._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.4}}
{lalign 8:9._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.6}}
{lalign 8:10._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.8}}
{lalign 8:11._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3}}
{lalign 8:12._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.2}}
{lalign 8:13._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.4}}
{lalign 8:14._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.6}}
{lalign 8:15._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.8}}
{lalign 8:16._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4}}
{lalign 8:17._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.2}}
{lalign 8:18._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.4}}
{lalign 8:19._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.6}}
{lalign 8:20._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.8}}
{lalign 8:21._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5}}
{lalign 8:22._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.2}}
{lalign 8:23._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.4}}
{lalign 8:24._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.6}}
{lalign 8:25._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.8}}
{lalign 8:26._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6}}
{lalign 8:27._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.2}}
{lalign 8:28._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.4}}
{lalign 8:29._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.6}}
{lalign 8:30._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.8}}
{lalign 8:31._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:7}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_at#high {c |}
{space 7} 1 0  {c |}{col 14}{res}{space 2} 2.815231{col 26}{space 2} .1161566{col 37}{space 1}   24.24{col 46}{space 3}0.000{col 54}{space 4} 2.587312{col 67}{space 3} 3.043149
{txt}{space 7} 1 1  {c |}{col 14}{res}{space 2} 3.356733{col 26}{space 2} .1584411{col 37}{space 1}   21.19{col 46}{space 3}0.000{col 54}{space 4} 3.045845{col 67}{space 3} 3.667622
{txt}{space 7} 2 0  {c |}{col 14}{res}{space 2} 2.782877{col 26}{space 2} .1096624{col 37}{space 1}   25.38{col 46}{space 3}0.000{col 54}{space 4} 2.567701{col 67}{space 3} 2.998054
{txt}{space 7} 2 1  {c |}{col 14}{res}{space 2} 3.301767{col 26}{space 2}  .150137{col 37}{space 1}   21.99{col 46}{space 3}0.000{col 54}{space 4} 3.007173{col 67}{space 3} 3.596361
{txt}{space 7} 3 0  {c |}{col 14}{res}{space 2} 2.750524{col 26}{space 2} .1032841{col 37}{space 1}   26.63{col 46}{space 3}0.000{col 54}{space 4} 2.547863{col 67}{space 3} 2.953185
{txt}{space 7} 3 1  {c |}{col 14}{res}{space 2} 3.246801{col 26}{space 2} .1419663{col 37}{space 1}   22.87{col 46}{space 3}0.000{col 54}{space 4} 2.968239{col 67}{space 3} 3.525363
{txt}{space 7} 4 0  {c |}{col 14}{res}{space 2} 2.718171{col 26}{space 2} .0970444{col 37}{space 1}   28.01{col 46}{space 3}0.000{col 54}{space 4} 2.527753{col 67}{space 3} 2.908588
{txt}{space 7} 4 1  {c |}{col 14}{res}{space 2} 3.191835{col 26}{space 2} .1339535{col 37}{space 1}   23.83{col 46}{space 3}0.000{col 54}{space 4} 2.928995{col 67}{space 3} 3.454674
{txt}{space 7} 5 0  {c |}{col 14}{res}{space 2} 2.685818{col 26}{space 2} .0909719{col 37}{space 1}   29.52{col 46}{space 3}0.000{col 54}{space 4} 2.507315{col 67}{space 3}  2.86432
{txt}{space 7} 5 1  {c |}{col 14}{res}{space 2} 3.136868{col 26}{space 2} .1261285{col 37}{space 1}   24.87{col 46}{space 3}0.000{col 54}{space 4} 2.889383{col 67}{space 3} 3.384354
{txt}{space 7} 6 0  {c |}{col 14}{res}{space 2} 2.653464{col 26}{space 2} .0851024{col 37}{space 1}   31.18{col 46}{space 3}0.000{col 54}{space 4} 2.486479{col 67}{space 3}  2.82045
{txt}{space 7} 6 1  {c |}{col 14}{res}{space 2} 3.081902{col 26}{space 2} .1185286{col 37}{space 1}   26.00{col 46}{space 3}0.000{col 54}{space 4} 2.849329{col 67}{space 3} 3.314475
{txt}{space 7} 7 0  {c |}{col 14}{res}{space 2} 2.621111{col 26}{space 2} .0794808{col 37}{space 1}   32.98{col 46}{space 3}0.000{col 54}{space 4} 2.465156{col 67}{space 3} 2.777066
{txt}{space 7} 7 1  {c |}{col 14}{res}{space 2} 3.026936{col 26}{space 2} .1111999{col 37}{space 1}   27.22{col 46}{space 3}0.000{col 54}{space 4} 2.808743{col 67}{space 3} 3.245129
{txt}{space 7} 8 0  {c |}{col 14}{res}{space 2} 2.588758{col 26}{space 2} .0741635{col 37}{space 1}   34.91{col 46}{space 3}0.000{col 54}{space 4} 2.443236{col 67}{space 3} 2.734279
{txt}{space 7} 8 1  {c |}{col 14}{res}{space 2}  2.97197{col 26}{space 2} .1041998{col 37}{space 1}   28.52{col 46}{space 3}0.000{col 54}{space 4} 2.767512{col 67}{space 3} 3.176427
{txt}{space 7} 9 0  {c |}{col 14}{res}{space 2} 2.556405{col 26}{space 2} .0692208{col 37}{space 1}   36.93{col 46}{space 3}0.000{col 54}{space 4} 2.420582{col 67}{space 3} 2.692227
{txt}{space 7} 9 1  {c |}{col 14}{res}{space 2} 2.917003{col 26}{space 2} .0975989{col 37}{space 1}   29.89{col 46}{space 3}0.000{col 54}{space 4} 2.725498{col 67}{space 3} 3.108509
{txt}{space 7}10 0  {c |}{col 14}{res}{space 2} 2.524051{col 26}{space 2} .0647384{col 37}{space 1}   38.99{col 46}{space 3}0.000{col 54}{space 4} 2.397024{col 67}{space 3} 2.651079
{txt}{space 7}10 1  {c |}{col 14}{res}{space 2} 2.862037{col 26}{space 2} .0914837{col 37}{space 1}   31.28{col 46}{space 3}0.000{col 54}{space 4} 2.682531{col 67}{space 3} 3.041544
{txt}{space 7}11 0  {c |}{col 14}{res}{space 2} 2.491698{col 26}{space 2} .0608182{col 37}{space 1}   40.97{col 46}{space 3}0.000{col 54}{space 4} 2.372362{col 67}{space 3} 2.611034
{txt}{space 7}11 1  {c |}{col 14}{res}{space 2} 2.807071{col 26}{space 2} .0859579{col 37}{space 1}   32.66{col 46}{space 3}0.000{col 54}{space 4} 2.638407{col 67}{space 3} 2.975735
{txt}{space 7}12 0  {c |}{col 14}{res}{space 2} 2.459345{col 26}{space 2} .0575752{col 37}{space 1}   42.72{col 46}{space 3}0.000{col 54}{space 4} 2.346372{col 67}{space 3} 2.572317
{txt}{space 7}12 1  {c |}{col 14}{res}{space 2} 2.752105{col 26}{space 2}  .081142{col 37}{space 1}   33.92{col 46}{space 3}0.000{col 54}{space 4}  2.59289{col 67}{space 3} 2.911319
{txt}{space 7}13 0  {c |}{col 14}{res}{space 2} 2.426991{col 26}{space 2} .0551291{col 37}{space 1}   44.02{col 46}{space 3}0.000{col 54}{space 4} 2.318819{col 67}{space 3} 2.535164
{txt}{space 7}13 1  {c |}{col 14}{res}{space 2} 2.697139{col 26}{space 2} .0771691{col 37}{space 1}   34.95{col 46}{space 3}0.000{col 54}{space 4}  2.54572{col 67}{space 3} 2.848557
{txt}{space 7}14 0  {c |}{col 14}{res}{space 2} 2.394638{col 26}{space 2}  .053589{col 37}{space 1}   44.69{col 46}{space 3}0.000{col 54}{space 4} 2.289488{col 67}{space 3} 2.499789
{txt}{space 7}14 1  {c |}{col 14}{res}{space 2} 2.642172{col 26}{space 2} .0741747{col 37}{space 1}   35.62{col 46}{space 3}0.000{col 54}{space 4} 2.496629{col 67}{space 3} 2.787716
{txt}{space 7}15 0  {c |}{col 14}{res}{space 2} 2.362285{col 26}{space 2} .0530339{col 37}{space 1}   44.54{col 46}{space 3}0.000{col 54}{space 4} 2.258223{col 67}{space 3} 2.466346
{txt}{space 7}15 1  {c |}{col 14}{res}{space 2} 2.587206{col 26}{space 2} .0722804{col 37}{space 1}   35.79{col 46}{space 3}0.000{col 54}{space 4}  2.44538{col 67}{space 3} 2.729033
{txt}{space 7}16 0  {c |}{col 14}{res}{space 2} 2.329932{col 26}{space 2} .0534945{col 37}{space 1}   43.55{col 46}{space 3}0.000{col 54}{space 4} 2.224966{col 67}{space 3} 2.434897
{txt}{space 7}16 1  {c |}{col 14}{res}{space 2}  2.53224{col 26}{space 2} .0715739{col 37}{space 1}   35.38{col 46}{space 3}0.000{col 54}{space 4}   2.3918{col 67}{space 3}  2.67268
{txt}{space 7}17 0  {c |}{col 14}{res}{space 2} 2.297578{col 26}{space 2} .0549453{col 37}{space 1}   41.82{col 46}{space 3}0.000{col 54}{space 4} 2.189766{col 67}{space 3}  2.40539
{txt}{space 7}17 1  {c |}{col 14}{res}{space 2} 2.477274{col 26}{space 2} .0720898{col 37}{space 1}   34.36{col 46}{space 3}0.000{col 54}{space 4} 2.335821{col 67}{space 3} 2.618726
{txt}{space 7}18 0  {c |}{col 14}{res}{space 2} 2.265225{col 26}{space 2} .0573112{col 37}{space 1}   39.53{col 46}{space 3}0.000{col 54}{space 4} 2.152771{col 67}{space 3} 2.377679
{txt}{space 7}18 1  {c |}{col 14}{res}{space 2} 2.422307{col 26}{space 2} .0738028{col 37}{space 1}   32.82{col 46}{space 3}0.000{col 54}{space 4} 2.277494{col 67}{space 3} 2.567121
{txt}{space 7}19 0  {c |}{col 14}{res}{space 2} 2.232872{col 26}{space 2} .0604847{col 37}{space 1}   36.92{col 46}{space 3}0.000{col 54}{space 4} 2.114191{col 67}{space 3} 2.351553
{txt}{space 7}19 1  {c |}{col 14}{res}{space 2} 2.367341{col 26}{space 2} .0766324{col 37}{space 1}   30.89{col 46}{space 3}0.000{col 54}{space 4} 2.216975{col 67}{space 3} 2.517707
{txt}{space 7}20 0  {c |}{col 14}{res}{space 2} 2.200519{col 26}{space 2} .0643467{col 37}{space 1}   34.20{col 46}{space 3}0.000{col 54}{space 4} 2.074259{col 67}{space 3} 2.326778
{txt}{space 7}20 1  {c |}{col 14}{res}{space 2} 2.312375{col 26}{space 2}  .080461{col 37}{space 1}   28.74{col 46}{space 3}0.000{col 54}{space 4} 2.154497{col 67}{space 3} 2.470253
{txt}{space 7}21 0  {c |}{col 14}{res}{space 2} 2.168165{col 26}{space 2} .0687811{col 37}{space 1}   31.52{col 46}{space 3}0.000{col 54}{space 4} 2.033205{col 67}{space 3} 2.303125
{txt}{space 7}21 1  {c |}{col 14}{res}{space 2} 2.257409{col 26}{space 2} .0851539{col 37}{space 1}   26.51{col 46}{space 3}0.000{col 54}{space 4} 2.090322{col 67}{space 3} 2.424495
{txt}{space 7}22 0  {c |}{col 14}{res}{space 2} 2.135812{col 26}{space 2} .0736847{col 37}{space 1}   28.99{col 46}{space 3}0.000{col 54}{space 4}  1.99123{col 67}{space 3} 2.280394
{txt}{space 7}22 1  {c |}{col 14}{res}{space 2} 2.202442{col 26}{space 2} .0905769{col 37}{space 1}   24.32{col 46}{space 3}0.000{col 54}{space 4} 2.024715{col 67}{space 3}  2.38017
{txt}{space 7}23 0  {c |}{col 14}{res}{space 2} 2.103459{col 26}{space 2} .0789702{col 37}{space 1}   26.64{col 46}{space 3}0.000{col 54}{space 4} 1.948506{col 67}{space 3} 2.258412
{txt}{space 7}23 1  {c |}{col 14}{res}{space 2} 2.147476{col 26}{space 2} .0966071{col 37}{space 1}   22.23{col 46}{space 3}0.000{col 54}{space 4} 1.957917{col 67}{space 3} 2.337036
{txt}{space 7}24 0  {c |}{col 14}{res}{space 2} 2.071105{col 26}{space 2} .0845659{col 37}{space 1}   24.49{col 46}{space 3}0.000{col 54}{space 4} 1.905173{col 67}{space 3} 2.237038
{txt}{space 7}24 1  {c |}{col 14}{res}{space 2}  2.09251{col 26}{space 2} .1031381{col 37}{space 1}   20.29{col 46}{space 3}0.000{col 54}{space 4} 1.890136{col 67}{space 3} 2.294884
{txt}{space 7}25 0  {c |}{col 14}{res}{space 2} 2.038752{col 26}{space 2} .0904144{col 37}{space 1}   22.55{col 46}{space 3}0.000{col 54}{space 4} 1.861344{col 67}{space 3}  2.21616
{txt}{space 7}25 1  {c |}{col 14}{res}{space 2} 2.037544{col 26}{space 2} .1100808{col 37}{space 1}   18.51{col 46}{space 3}0.000{col 54}{space 4} 1.821547{col 67}{space 3} 2.253541
{txt}{space 7}26 0  {c |}{col 14}{res}{space 2} 2.006399{col 26}{space 2} .0964696{col 37}{space 1}   20.80{col 46}{space 3}0.000{col 54}{space 4} 1.817109{col 67}{space 3} 2.195688
{txt}{space 7}26 1  {c |}{col 14}{res}{space 2} 1.982577{col 26}{space 2} .1173621{col 37}{space 1}   16.89{col 46}{space 3}0.000{col 54}{space 4} 1.752293{col 67}{space 3} 2.212862
{txt}{space 7}27 0  {c |}{col 14}{res}{space 2} 1.974046{col 26}{space 2} .1026949{col 37}{space 1}   19.22{col 46}{space 3}0.000{col 54}{space 4} 1.772541{col 67}{space 3}  2.17555
{txt}{space 7}27 1  {c |}{col 14}{res}{space 2} 1.927611{col 26}{space 2} .1249228{col 37}{space 1}   15.43{col 46}{space 3}0.000{col 54}{space 4} 1.682492{col 67}{space 3} 2.172731
{txt}{space 7}28 0  {c |}{col 14}{res}{space 2} 1.941692{col 26}{space 2} .1090613{col 37}{space 1}   17.80{col 46}{space 3}0.000{col 54}{space 4} 1.727696{col 67}{space 3} 2.155689
{txt}{space 7}28 1  {c |}{col 14}{res}{space 2} 1.872645{col 26}{space 2} .1327152{col 37}{space 1}   14.11{col 46}{space 3}0.000{col 54}{space 4} 1.612235{col 67}{space 3} 2.133055
{txt}{space 7}29 0  {c |}{col 14}{res}{space 2} 1.909339{col 26}{space 2} .1155455{col 37}{space 1}   16.52{col 46}{space 3}0.000{col 54}{space 4} 1.682619{col 67}{space 3} 2.136059
{txt}{space 7}29 1  {c |}{col 14}{res}{space 2} 1.817679{col 26}{space 2} .1407009{col 37}{space 1}   12.92{col 46}{space 3}0.000{col 54}{space 4}   1.5416{col 67}{space 3} 2.093758
{txt}{space 7}30 0  {c |}{col 14}{res}{space 2} 1.876986{col 26}{space 2} .1221286{col 37}{space 1}   15.37{col 46}{space 3}0.000{col 54}{space 4} 1.637349{col 67}{space 3} 2.116623
{txt}{space 7}30 1  {c |}{col 14}{res}{space 2} 1.762712{col 26}{space 2} .1488486{col 37}{space 1}   11.84{col 46}{space 3}0.000{col 54}{space 4} 1.470646{col 67}{space 3} 2.054779
{txt}{space 7}31 0  {c |}{col 14}{res}{space 2} 1.844633{col 26}{space 2} .1287955{col 37}{space 1}   14.32{col 46}{space 3}0.000{col 54}{space 4} 1.591914{col 67}{space 3} 2.097351
{txt}{space 7}31 1  {c |}{col 14}{res}{space 2} 1.707746{col 26}{space 2} .1571332{col 37}{space 1}   10.87{col 46}{space 3}0.000{col 54}{space 4} 1.399424{col 67}{space 3} 2.016068
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%60)) recastci(rarea) ///
>         xlabel(1(1)7) title("") xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}")  ///
>         ylabel(1.5(0.5)4, nogrid) ytitle("Predictive Margins of {c -(}it:Liking SD{c )-}") ///
>         graphregion(c(white)) yline(0) plot2opts(lpattern(longdash)) ///
>         scheme(s2mono) name(figure_cont1, replace) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  ///
>         ytitle("Percentage of Observations", axis(2)) fcolor(gray%20)  ///
>         lcolor(black%30) xlabel(1(1)7) leg(off) yscale(alt axis(2))) ///
>         note("(10.1)", position(11))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp high}{p_end}
{res}{txt}
{com}.  
. reg likesd_cont i.high##c.mcp anti_immi left_right sex polint unemp edu

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,087
{txt}{hline 13}{c +}{hline 34}   F(9, 1077)      = {res}   139.75
{txt}       Model {c |} {res} 2470.88989         9  274.543322   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 2115.81664     1,077  1.96454655   {txt}R-squared       ={res}    0.5387
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.5349
{txt}       Total {c |} {res} 4586.70653     1,086  4.22348668   {txt}Root MSE        =   {res} 1.4016

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} likesd_cont{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.high {c |}{col 14}{res}{space 2} .6545675{col 26}{space 2} .2378108{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .1879424{col 67}{space 3} 1.121193
{txt}{space 9}mcp {c |}{col 14}{res}{space 2}-.1617663{col 26}{space 2} .0367856{col 37}{space 1}   -4.40{col 46}{space 3}0.000{col 54}{space 4} -.233946{col 67}{space 3}-.0895867
{txt}{space 12} {c |}
{space 2}high#c.mcp {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1130648{col 26}{space 2} .0559487{col 37}{space 1}   -2.02{col 46}{space 3}0.044{col 54}{space 4}-.2228456{col 67}{space 3} -.003284
{txt}{space 12} {c |}
{space 3}anti_immi {c |}{col 14}{res}{space 2}  .555263{col 26}{space 2} .0278252{col 37}{space 1}   19.96{col 46}{space 3}0.000{col 54}{space 4} .5006652{col 67}{space 3} .6098608
{txt}{space 2}left_right {c |}{col 14}{res}{space 2} .1833453{col 26}{space 2} .0325801{col 37}{space 1}    5.63{col 46}{space 3}0.000{col 54}{space 4} .1194177{col 67}{space 3} .2472729
{txt}{space 9}sex {c |}{col 14}{res}{space 2} .1753161{col 26}{space 2} .0911293{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4} -.003495{col 67}{space 3} .3541273
{txt}{space 6}polint {c |}{col 14}{res}{space 2} -.033022{col 26}{space 2} .0699783{col 37}{space 1}   -0.47{col 46}{space 3}0.637{col 54}{space 4}-.1703314{col 67}{space 3} .1042873
{txt}{space 7}unemp {c |}{col 14}{res}{space 2}-.0471086{col 26}{space 2} .0878948{col 37}{space 1}   -0.54{col 46}{space 3}0.592{col 54}{space 4}-.2195731{col 67}{space 3} .1253559
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-.1105843{col 26}{space 2} .0221862{col 37}{space 1}   -4.98{col 46}{space 3}0.000{col 54}{space 4}-.1541174{col 67}{space 3}-.0670512
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7084947{col 26}{space 2} .3046427{col 37}{space 1}    2.33{col 46}{space 3}0.020{col 54}{space 4} .1107341{col 67}{space 3} 1.306255
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins  r.high, at(mcp=(1(0.2)7)) 
{res}
{txt}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,087}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.2}}
{lalign 8:3._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.4}}
{lalign 8:4._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.6}}
{lalign 8:5._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.8}}
{lalign 8:6._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2}}
{lalign 8:7._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.2}}
{lalign 8:8._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.4}}
{lalign 8:9._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.6}}
{lalign 8:10._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.8}}
{lalign 8:11._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3}}
{lalign 8:12._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.2}}
{lalign 8:13._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.4}}
{lalign 8:14._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.6}}
{lalign 8:15._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.8}}
{lalign 8:16._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4}}
{lalign 8:17._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.2}}
{lalign 8:18._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.4}}
{lalign 8:19._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.6}}
{lalign 8:20._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.8}}
{lalign 8:21._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5}}
{lalign 8:22._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.2}}
{lalign 8:23._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.4}}
{lalign 8:24._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.6}}
{lalign 8:25._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.8}}
{lalign 8:26._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6}}
{lalign 8:27._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.2}}
{lalign 8:28._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.4}}
{lalign 8:29._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.6}}
{lalign 8:30._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.8}}
{lalign 8:31._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:7}}

{res}{col 1}{text}{hline 13}{c TT}{hline 11}{hline 12}{hline 11}
{col 14}{text}{c |}         df{col 26}           F{col 38}        P>F
{res}{col 1}{text}{hline 13}{c +}{hline 11}{hline 12}{hline 11}
{space 4}high@_at {c |}
(1 vs 0)  1  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     8.37{col 38}{space 2}   0.0039
{txt}(1 vs 0)  2  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     8.55{col 38}{space 2}   0.0035
{txt}(1 vs 0)  3  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     8.74{col 38}{space 2}   0.0032
{txt}(1 vs 0)  4  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     8.93{col 38}{space 2}   0.0029
{txt}(1 vs 0)  5  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     9.12{col 38}{space 2}   0.0026
{txt}(1 vs 0)  6  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     9.29{col 38}{space 2}   0.0024
{txt}(1 vs 0)  7  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     9.43{col 38}{space 2}   0.0022
{txt}(1 vs 0)  8  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     9.53{col 38}{space 2}   0.0021
{txt}(1 vs 0)  9  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     9.55{col 38}{space 2}   0.0020
{txt}(1 vs 0) 10  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     9.47{col 38}{space 2}   0.0021
{txt}(1 vs 0) 11  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     9.24{col 38}{space 2}   0.0024
{txt}(1 vs 0) 12  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     8.82{col 38}{space 2}   0.0030
{txt}(1 vs 0) 13  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     8.19{col 38}{space 2}   0.0043
{txt}(1 vs 0) 14  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     7.32{col 38}{space 2}   0.0069
{txt}(1 vs 0) 15  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     6.27{col 38}{space 2}   0.0124
{txt}(1 vs 0) 16  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     5.10{col 38}{space 2}   0.0241
{txt}(1 vs 0) 17  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.93{col 38}{space 2}   0.0478
{txt}(1 vs 0) 18  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     2.84{col 38}{space 2}   0.0920
{txt}(1 vs 0) 19  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.93{col 38}{space 2}   0.1653
{txt}(1 vs 0) 20  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.21{col 38}{space 2}   0.2714
{txt}(1 vs 0) 21  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.69{col 38}{space 2}   0.4063
{txt}(1 vs 0) 22  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.34{col 38}{space 2}   0.5590
{txt}(1 vs 0) 23  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.13{col 38}{space 2}   0.7166
{txt}(1 vs 0) 24  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.03{col 38}{space 2}   0.8683
{txt}(1 vs 0) 25  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.00{col 38}{space 2}   0.9930
{txt}(1 vs 0) 26  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.03{col 38}{space 2}   0.8704
{txt}(1 vs 0) 27  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.09{col 38}{space 2}   0.7646
{txt}(1 vs 0) 28  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.18{col 38}{space 2}   0.6743
{txt}(1 vs 0) 29  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.28{col 38}{space 2}   0.5979
{txt}(1 vs 0) 30  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.39{col 38}{space 2}   0.5334
{txt}(1 vs 0) 31  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.50{col 38}{space 2}   0.4789
{col 1}{text}      Joint {col 14}{c |}{result}{space 2}        2{col 26}{space 3}     4.78{col 38}{space 2}   0.0086
{col 14}{text}{c |}
{res}{col 1}{text} Denominator{col 14}{c |}{result}{space 2}     1077
{col 1}{text}{hline 13}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}   Contrast{col 26}   std. err.{col 38}     [95% con{col 51}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 4}high@_at {c |}
(1 vs 0)  1  {c |}{col 14}{res}{space 2} .5415027{col 26}{space 2} .1871626{col 37}{space 5} .1742581{col 51}{space 3} .9087473
{txt}(1 vs 0)  2  {c |}{col 14}{res}{space 2} .5188897{col 26}{space 2} .1774155{col 37}{space 5} .1707706{col 51}{space 3} .8670089
{txt}(1 vs 0)  3  {c |}{col 14}{res}{space 2} .4962767{col 26}{space 2} .1678484{col 37}{space 5} .1669297{col 51}{space 3} .8256238
{txt}(1 vs 0)  4  {c |}{col 14}{res}{space 2} .4736638{col 26}{space 2} .1584941{col 37}{space 5} .1626716{col 51}{space 3} .7846559
{txt}(1 vs 0)  5  {c |}{col 14}{res}{space 2} .4510508{col 26}{space 2} .1493923{col 37}{space 5} .1579179{col 51}{space 3} .7441838
{txt}(1 vs 0)  6  {c |}{col 14}{res}{space 2} .4284379{col 26}{space 2} .1405922{col 37}{space 5} .1525722{col 51}{space 3} .7043035
{txt}(1 vs 0)  7  {c |}{col 14}{res}{space 2} .4058249{col 26}{space 2} .1321541{col 37}{space 5} .1465163{col 51}{space 3} .6651335
{txt}(1 vs 0)  8  {c |}{col 14}{res}{space 2} .3832119{col 26}{space 2} .1241517{col 37}{space 5} .1396053{col 51}{space 3} .6268186
{txt}(1 vs 0)  9  {c |}{col 14}{res}{space 2}  .360599{col 26}{space 2} .1166748{col 37}{space 5} .1316632{col 51}{space 3} .5895348
{txt}(1 vs 0) 10  {c |}{col 14}{res}{space 2}  .337986{col 26}{space 2} .1098308{col 37}{space 5} .1224793{col 51}{space 3} .5534927
{txt}(1 vs 0) 11  {c |}{col 14}{res}{space 2}  .315373{col 26}{space 2}  .103745{col 37}{space 5} .1118078{col 51}{space 3} .5189383
{txt}(1 vs 0) 12  {c |}{col 14}{res}{space 2} .2927601{col 26}{space 2} .0985579{col 37}{space 5} .0993728{col 51}{space 3} .4861473
{txt}(1 vs 0) 13  {c |}{col 14}{res}{space 2} .2701471{col 26}{space 2} .0944177{col 37}{space 5} .0848835{col 51}{space 3} .4554107
{txt}(1 vs 0) 14  {c |}{col 14}{res}{space 2} .2475341{col 26}{space 2} .0914669{col 37}{space 5} .0680607{col 51}{space 3} .4270076
{txt}(1 vs 0) 15  {c |}{col 14}{res}{space 2} .2249212{col 26}{space 2} .0898225{col 37}{space 5} .0486743{col 51}{space 3} .4011681
{txt}(1 vs 0) 16  {c |}{col 14}{res}{space 2} .2023082{col 26}{space 2} .0895567{col 37}{space 5} .0265829{col 51}{space 3} .3780335
{txt}(1 vs 0) 17  {c |}{col 14}{res}{space 2} .1796953{col 26}{space 2} .0906815{col 37}{space 5} .0017629{col 51}{space 3} .3576276
{txt}(1 vs 0) 18  {c |}{col 14}{res}{space 2} .1570823{col 26}{space 2} .0931466{col 37}{space 5}-.0256871{col 51}{space 3} .3398516
{txt}(1 vs 0) 19  {c |}{col 14}{res}{space 2} .1344693{col 26}{space 2} .0968497{col 37}{space 5}-.0555661{col 51}{space 3} .3245048
{txt}(1 vs 0) 20  {c |}{col 14}{res}{space 2} .1118563{col 26}{space 2} .1016556{col 37}{space 5}-.0876091{col 51}{space 3} .3113218
{txt}(1 vs 0) 21  {c |}{col 14}{res}{space 2} .0892434{col 26}{space 2} .1074164{col 37}{space 5}-.1215257{col 51}{space 3} .3000125
{txt}(1 vs 0) 22  {c |}{col 14}{res}{space 2} .0666304{col 26}{space 2} .1139873{col 37}{space 5} -.157032{col 51}{space 3} .2902929
{txt}(1 vs 0) 23  {c |}{col 14}{res}{space 2} .0440174{col 26}{space 2} .1212369{col 37}{space 5}-.1938698{col 51}{space 3} .2819047
{txt}(1 vs 0) 24  {c |}{col 14}{res}{space 2} .0214045{col 26}{space 2} .1290506{col 37}{space 5}-.2318145{col 51}{space 3} .2746236
{txt}(1 vs 0) 25  {c |}{col 14}{res}{space 2}-.0012085{col 26}{space 2} .1373323{col 37}{space 5}-.2706776{col 51}{space 3} .2682607
{txt}(1 vs 0) 26  {c |}{col 14}{res}{space 2}-.0238214{col 26}{space 2} .1460023{col 37}{space 5}-.3103026{col 51}{space 3} .2626598
{txt}(1 vs 0) 27  {c |}{col 14}{res}{space 2}-.0464344{col 26}{space 2} .1549955{col 37}{space 5}-.3505618{col 51}{space 3}  .257693
{txt}(1 vs 0) 28  {c |}{col 14}{res}{space 2}-.0690474{col 26}{space 2} .1642589{col 37}{space 5} -.391351{col 51}{space 3} .2532563
{txt}(1 vs 0) 29  {c |}{col 14}{res}{space 2}-.0916603{col 26}{space 2} .1737491{col 37}{space 5}-.4325855{col 51}{space 3} .2492648
{txt}(1 vs 0) 30  {c |}{col 14}{res}{space 2}-.1142733{col 26}{space 2} .1834311{col 37}{space 5}-.4741961{col 51}{space 3} .2456495
{txt}(1 vs 0) 31  {c |}{col 14}{res}{space 2}-.1368863{col 26}{space 2} .1932759{col 37}{space 5}-.5161263{col 51}{space 3} .2423538
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%60)) recastci(rarea) ///
>         xlabel(1(1)7) title("") xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ylabel(-1.0(0.5)1.5, nogrid) ///
>         ytitle(" {c -(}&Delta{c )-}Predictive Margins of {c -(}it:Liking SD{c )-}" ///
>         "(Contrasts between groups)") ylabel(0(.1)0.4) ///
>         graphregion(c(white)) yline(0) scheme(s2mono) name(figure_cont2, replace) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2) ///
>         ytitle("Percentage of Observations", axis(2)) fcolor(gray%20) ///
>         lcolor(black%30) xlabel(1(1)7) leg(off) yscale(alt axis(2))) ///
>         note("(10.2)", position(11)) 
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp}{p_end}
{res}{txt}
{com}.                                                  
. graph combine figure_cont1 figure_cont2,  col(2) xsize(11) ysize(4) ///
>         graphregion(margin(zero)) scale(2) name(fig10, replace)
{res}{txt}
{com}. 
. graph save fig10 "fig10.gph", replace
{txt}{p 0 4 2}
(file {bf}
fig10.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:fig10.gph} saved

{com}. graph export fig10.tif, replace
{txt}{p 0 4 2}
(file {bf}
fig10.tif{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fig10.tif{rm}
saved as
TIFF
format
{p_end}

{com}. graph close figure_cont1 figure_cont2
{txt}
{com}.  
. **OLS with 3-way INTERACTION (ANTI-IMMI)**
. eststo: quietly regress likesd anti_immi i.high mcp left_right sex polint unemp edu
{txt}({res}est1{txt} stored)

{com}. eststo: quietly regress likesd anti_immi i.high mcp left_right sex polint unemp edu i.high#c.mcp i.high#c.anti_immi c.anti_immi#c.mcp c.anti_immi#c.mcp#i.high
{txt}({res}est2{txt} stored)

{com}. esttab using A7.rtf, replace se label title(Three-way interaction model (LPM))  
{res}{txt}{p 0 4 2}
(file {bf}
A7.rtf{rm}
not found)
{p_end}
(output written to {browse  `"A7.rtf"'})

{com}. eststo clear            
{txt}
{com}. 
. regress likesd anti_immi i.high mcp left_right sex polint unemp edu i.high#c.mcp i.high#c.anti_immi c.anti_immi#c.mcp c.anti_immi#c.mcp#i.high

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,094
{txt}{hline 13}{c +}{hline 34}   F(12, 1081)     = {res}    54.29
{txt}       Model {c |} {res} 48.9438261        12  4.07865218   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 81.2143091     1,081  .075128871   {txt}R-squared       ={res}    0.3760
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3691
{txt}       Total {c |} {res} 130.158135     1,093  .119083381   {txt}Root MSE        =   {res}  .2741

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                likesd{col 24}{c |} Coefficient{col 36}  Std. err.{col 48}      t{col 56}   P>|t|{col 64}     [95% con{col 77}f. interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}anti_immi {c |}{col 24}{res}{space 2} .1514539{col 36}{space 2} .0137196{col 47}{space 1}   11.04{col 56}{space 3}0.000{col 64}{space 4} .1245339{col 77}{space 3} .1783739
{txt}{space 16}1.high {c |}{col 24}{res}{space 2}-.0318061{col 36}{space 2} .1152386{col 47}{space 1}   -0.28{col 56}{space 3}0.783{col 64}{space 4}-.2579228{col 77}{space 3} .1943105
{txt}{space 19}mcp {c |}{col 24}{res}{space 2} .0794831{col 36}{space 2} .0150449{col 47}{space 1}    5.28{col 56}{space 3}0.000{col 64}{space 4} .0499626{col 77}{space 3} .1090036
{txt}{space 12}left_right {c |}{col 24}{res}{space 2} .0294233{col 36}{space 2} .0063619{col 47}{space 1}    4.62{col 56}{space 3}0.000{col 64}{space 4} .0169403{col 77}{space 3} .0419063
{txt}{space 19}sex {c |}{col 24}{res}{space 2}-.0176814{col 36}{space 2} .0178252{col 47}{space 1}   -0.99{col 56}{space 3}0.321{col 64}{space 4}-.0526574{col 77}{space 3} .0172945
{txt}{space 16}polint {c |}{col 24}{res}{space 2}-.0336998{col 36}{space 2} .0136321{col 47}{space 1}   -2.47{col 56}{space 3}0.014{col 64}{space 4}-.0604481{col 77}{space 3}-.0069515
{txt}{space 17}unemp {c |}{col 24}{res}{space 2} .0079246{col 36}{space 2} .0171545{col 47}{space 1}    0.46{col 56}{space 3}0.644{col 64}{space 4}-.0257353{col 77}{space 3} .0415845
{txt}{space 19}edu {c |}{col 24}{res}{space 2}-.0158651{col 36}{space 2} .0043434{col 47}{space 1}   -3.65{col 56}{space 3}0.000{col 64}{space 4}-.0243876{col 77}{space 3}-.0073426
{txt}{space 22} {c |}
{space 12}high#c.mcp {c |}
{space 20}1  {c |}{col 24}{res}{space 2}-.0079757{col 36}{space 2} .0247971{col 47}{space 1}   -0.32{col 56}{space 3}0.748{col 64}{space 4}-.0566316{col 77}{space 3} .0406802
{txt}{space 22} {c |}
{space 6}high#c.anti_immi {c |}
{space 20}1  {c |}{col 24}{res}{space 2} .0407202{col 36}{space 2} .0224801{col 47}{space 1}    1.81{col 56}{space 3}0.070{col 64}{space 4}-.0033894{col 77}{space 3} .0848297
{txt}{space 22} {c |}
{space 5}c.anti_immi#c.mcp {c |}{col 24}{res}{space 2}-.0270863{col 36}{space 2} .0033558{col 47}{space 1}   -8.07{col 56}{space 3}0.000{col 64}{space 4} -.033671{col 77}{space 3}-.0205016
{txt}{space 22} {c |}
high#c.anti_immi#c.mcp {c |}
{space 20}1  {c |}{col 24}{res}{space 2}-.0034038{col 36}{space 2} .0055485{col 47}{space 1}   -0.61{col 56}{space 3}0.540{col 64}{space 4}-.0142908{col 77}{space 3} .0074832
{txt}{space 22} {c |}
{space 17}_cons {c |}{col 24}{res}{space 2}-.3624878{col 36}{space 2} .0825892{col 47}{space 1}   -4.39{col 56}{space 3}0.000{col 64}{space 4}-.5245412{col 77}{space 3}-.2004345
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins  high, at(mcp=(1(0.2)7) anti_immi=(1 4 7)) 
{res}
{txt}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,094}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.2}}
{lalign 8:3._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.4}}
{lalign 8:4._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.6}}
{lalign 8:5._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.8}}
{lalign 8:6._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2}}
{lalign 8:7._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.2}}
{lalign 8:8._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.4}}
{lalign 8:9._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.6}}
{lalign 8:10._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.8}}
{lalign 8:11._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3}}
{lalign 8:12._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.2}}
{lalign 8:13._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.4}}
{lalign 8:14._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.6}}
{lalign 8:15._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.8}}
{lalign 8:16._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4}}
{lalign 8:17._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.2}}
{lalign 8:18._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.4}}
{lalign 8:19._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.6}}
{lalign 8:20._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.8}}
{lalign 8:21._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5}}
{lalign 8:22._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.2}}
{lalign 8:23._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.4}}
{lalign 8:24._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.6}}
{lalign 8:25._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.8}}
{lalign 8:26._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6}}
{lalign 8:27._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.2}}
{lalign 8:28._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.4}}
{lalign 8:29._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.6}}
{lalign 8:30._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.8}}
{lalign 8:31._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:7}}
{lalign 8:32._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1}}
{lalign 8:33._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.2}}
{lalign 8:34._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.4}}
{lalign 8:35._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.6}}
{lalign 8:36._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.8}}
{lalign 8:37._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2}}
{lalign 8:38._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.2}}
{lalign 8:39._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.4}}
{lalign 8:40._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.6}}
{lalign 8:41._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.8}}
{lalign 8:42._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3}}
{lalign 8:43._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.2}}
{lalign 8:44._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.4}}
{lalign 8:45._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.6}}
{lalign 8:46._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.8}}
{lalign 8:47._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4}}
{lalign 8:48._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.2}}
{lalign 8:49._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.4}}
{lalign 8:50._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.6}}
{lalign 8:51._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.8}}
{lalign 8:52._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5}}
{lalign 8:53._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.2}}
{lalign 8:54._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.4}}
{lalign 8:55._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.6}}
{lalign 8:56._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.8}}
{lalign 8:57._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6}}
{lalign 8:58._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.2}}
{lalign 8:59._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.4}}
{lalign 8:60._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.6}}
{lalign 8:61._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.8}}
{lalign 8:62._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:7}}
{lalign 8:63._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1}}
{lalign 8:64._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.2}}
{lalign 8:65._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.4}}
{lalign 8:66._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.6}}
{lalign 8:67._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.8}}
{lalign 8:68._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2}}
{lalign 8:69._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.2}}
{lalign 8:70._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.4}}
{lalign 8:71._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.6}}
{lalign 8:72._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.8}}
{lalign 8:73._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3}}
{lalign 8:74._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.2}}
{lalign 8:75._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.4}}
{lalign 8:76._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.6}}
{lalign 8:77._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.8}}
{lalign 8:78._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4}}
{lalign 8:79._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.2}}
{lalign 8:80._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.4}}
{lalign 8:81._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.6}}
{lalign 8:82._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.8}}
{lalign 8:83._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5}}
{lalign 8:84._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.2}}
{lalign 8:85._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.4}}
{lalign 8:86._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.6}}
{lalign 8:87._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.8}}
{lalign 8:88._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6}}
{lalign 8:89._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.2}}
{lalign 8:90._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.4}}
{lalign 8:91._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.6}}
{lalign 8:92._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.8}}
{lalign 8:93._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 8:}{space 0}{lalign 9:mcp} = {res:{ralign 3:7}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_at#high {c |}
{space 7} 1 0  {c |}{col 14}{res}{space 2}-.2080799{col 26}{space 2} .0455935{col 37}{space 1}   -4.56{col 46}{space 3}0.000{col 54}{space 4}-.2975416{col 67}{space 3}-.1186182
{txt}{space 7} 1 1  {c |}{col 14}{res}{space 2}-.2105454{col 26}{space 2} .0621601{col 37}{space 1}   -3.39{col 46}{space 3}0.001{col 54}{space 4}-.3325136{col 67}{space 3}-.0885772
{txt}{space 7} 2 0  {c |}{col 14}{res}{space 2}-.1976005{col 26}{space 2} .0434521{col 37}{space 1}   -4.55{col 46}{space 3}0.000{col 54}{space 4}-.2828605{col 67}{space 3}-.1123406
{txt}{space 7} 2 1  {c |}{col 14}{res}{space 2}-.2023419{col 26}{space 2} .0593197{col 37}{space 1}   -3.41{col 46}{space 3}0.001{col 54}{space 4}-.3187367{col 67}{space 3}-.0859472
{txt}{space 7} 3 0  {c |}{col 14}{res}{space 2}-.1871212{col 26}{space 2} .0413447{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.2682461{col 67}{space 3}-.1059963
{txt}{space 7} 3 1  {c |}{col 14}{res}{space 2}-.1941385{col 26}{space 2} .0565195{col 37}{space 1}   -3.43{col 46}{space 3}0.001{col 54}{space 4}-.3050388{col 67}{space 3}-.0832382
{txt}{space 7} 4 0  {c |}{col 14}{res}{space 2}-.1766418{col 26}{space 2} .0392767{col 37}{space 1}   -4.50{col 46}{space 3}0.000{col 54}{space 4} -.253709{col 67}{space 3}-.0995746
{txt}{space 7} 4 1  {c |}{col 14}{res}{space 2} -.185935{col 26}{space 2} .0537659{col 37}{space 1}   -3.46{col 46}{space 3}0.001{col 54}{space 4}-.2914323{col 67}{space 3}-.0804377
{txt}{space 7} 5 0  {c |}{col 14}{res}{space 2}-.1661625{col 26}{space 2} .0372547{col 37}{space 1}   -4.46{col 46}{space 3}0.000{col 54}{space 4}-.2392622{col 67}{space 3}-.0930627
{txt}{space 7} 5 1  {c |}{col 14}{res}{space 2}-.1777316{col 26}{space 2} .0510664{col 37}{space 1}   -3.48{col 46}{space 3}0.001{col 54}{space 4} -.277932{col 67}{space 3}-.0775311
{txt}{space 7} 6 0  {c |}{col 14}{res}{space 2}-.1556831{col 26}{space 2} .0352867{col 37}{space 1}   -4.41{col 46}{space 3}0.000{col 54}{space 4}-.2249212{col 67}{space 3}-.0864449
{txt}{space 7} 6 1  {c |}{col 14}{res}{space 2}-.1695281{col 26}{space 2} .0484301{col 37}{space 1}   -3.50{col 46}{space 3}0.000{col 54}{space 4}-.2645557{col 67}{space 3}-.0745005
{txt}{space 7} 7 0  {c |}{col 14}{res}{space 2}-.1452037{col 26}{space 2} .0333821{col 37}{space 1}   -4.35{col 46}{space 3}0.000{col 54}{space 4}-.2107048{col 67}{space 3}-.0797027
{txt}{space 7} 7 1  {c |}{col 14}{res}{space 2}-.1613246{col 26}{space 2} .0458678{col 37}{space 1}   -3.52{col 46}{space 3}0.000{col 54}{space 4}-.2513247{col 67}{space 3}-.0713246
{txt}{space 7} 8 0  {c |}{col 14}{res}{space 2}-.1347244{col 26}{space 2} .0315525{col 37}{space 1}   -4.27{col 46}{space 3}0.000{col 54}{space 4}-.1966354{col 67}{space 3}-.0728133
{txt}{space 7} 8 1  {c |}{col 14}{res}{space 2}-.1531212{col 26}{space 2} .0433928{col 37}{space 1}   -3.53{col 46}{space 3}0.000{col 54}{space 4}-.2382648{col 67}{space 3}-.0679776
{txt}{space 7} 9 0  {c |}{col 14}{res}{space 2} -.124245{col 26}{space 2} .0298116{col 37}{space 1}   -4.17{col 46}{space 3}0.000{col 54}{space 4}-.1827402{col 67}{space 3}-.0657499
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{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%25)) recastci(rarea) xlabel(1(1)7) ///
>         xlabel(1(0.2)7) xscale(r(1 7)) title("") ///
>         xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ytitle("Pr - {c -(}it:Liking SD{c )-}")  ylabel(0(.1)0.4) graphregion(c(white)) ///
>         yline(0) scheme(s2mono) name(lpm_interact1, replace) plot1opts(lpattern(dash)) ///
>         plot2opts(lpattern(longdash)) plot3opts(lpattern(dash_dot)) plot4opts(lpattern(longdash_dot)) plot5opts(lpattern(_-_)) plot6opts(lpattern(solid)) ///
>         ci1opt(color(%25))ci2opt(color(%25)) ci3opt(color(%25)) ci4opt(color(%25)) ci5opt(color(%25)) ci6opt(color(%25)) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  xlabel(1(1)7) fcolor(gray%20)  ///
>         ytitle("Percentage of Observations", axis(2))lcolor(black%30)   /// 
>         yscale(alt axis(2))) ylabel(0(.1)0.4) xlabel(1(1)7) xscale(r(1 7)) leg(off) ///
>         note("(11.1)", position(11))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp anti_immi high}{p_end}
{res}{txt}
{com}.         
. regress likesd anti_immi i.high mcp left_right sex polint unemp edu i.high#c.mcp i.high#c.anti_immi c.anti_immi#c.mcp c.anti_immi#c.mcp#i.high

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,094
{txt}{hline 13}{c +}{hline 34}   F(12, 1081)     = {res}    54.29
{txt}       Model {c |} {res} 48.9438261        12  4.07865218   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 81.2143091     1,081  .075128871   {txt}R-squared       ={res}    0.3760
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3691
{txt}       Total {c |} {res} 130.158135     1,093  .119083381   {txt}Root MSE        =   {res}  .2741

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                likesd{col 24}{c |} Coefficient{col 36}  Std. err.{col 48}      t{col 56}   P>|t|{col 64}     [95% con{col 77}f. interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}anti_immi {c |}{col 24}{res}{space 2} .1514539{col 36}{space 2} .0137196{col 47}{space 1}   11.04{col 56}{space 3}0.000{col 64}{space 4} .1245339{col 77}{space 3} .1783739
{txt}{space 16}1.high {c |}{col 24}{res}{space 2}-.0318061{col 36}{space 2} .1152386{col 47}{space 1}   -0.28{col 56}{space 3}0.783{col 64}{space 4}-.2579228{col 77}{space 3} .1943105
{txt}{space 19}mcp {c |}{col 24}{res}{space 2} .0794831{col 36}{space 2} .0150449{col 47}{space 1}    5.28{col 56}{space 3}0.000{col 64}{space 4} .0499626{col 77}{space 3} .1090036
{txt}{space 12}left_right {c |}{col 24}{res}{space 2} .0294233{col 36}{space 2} .0063619{col 47}{space 1}    4.62{col 56}{space 3}0.000{col 64}{space 4} .0169403{col 77}{space 3} .0419063
{txt}{space 19}sex {c |}{col 24}{res}{space 2}-.0176814{col 36}{space 2} .0178252{col 47}{space 1}   -0.99{col 56}{space 3}0.321{col 64}{space 4}-.0526574{col 77}{space 3} .0172945
{txt}{space 16}polint {c |}{col 24}{res}{space 2}-.0336998{col 36}{space 2} .0136321{col 47}{space 1}   -2.47{col 56}{space 3}0.014{col 64}{space 4}-.0604481{col 77}{space 3}-.0069515
{txt}{space 17}unemp {c |}{col 24}{res}{space 2} .0079246{col 36}{space 2} .0171545{col 47}{space 1}    0.46{col 56}{space 3}0.644{col 64}{space 4}-.0257353{col 77}{space 3} .0415845
{txt}{space 19}edu {c |}{col 24}{res}{space 2}-.0158651{col 36}{space 2} .0043434{col 47}{space 1}   -3.65{col 56}{space 3}0.000{col 64}{space 4}-.0243876{col 77}{space 3}-.0073426
{txt}{space 22} {c |}
{space 12}high#c.mcp {c |}
{space 20}1  {c |}{col 24}{res}{space 2}-.0079757{col 36}{space 2} .0247971{col 47}{space 1}   -0.32{col 56}{space 3}0.748{col 64}{space 4}-.0566316{col 77}{space 3} .0406802
{txt}{space 22} {c |}
{space 6}high#c.anti_immi {c |}
{space 20}1  {c |}{col 24}{res}{space 2} .0407202{col 36}{space 2} .0224801{col 47}{space 1}    1.81{col 56}{space 3}0.070{col 64}{space 4}-.0033894{col 77}{space 3} .0848297
{txt}{space 22} {c |}
{space 5}c.anti_immi#c.mcp {c |}{col 24}{res}{space 2}-.0270863{col 36}{space 2} .0033558{col 47}{space 1}   -8.07{col 56}{space 3}0.000{col 64}{space 4} -.033671{col 77}{space 3}-.0205016
{txt}{space 22} {c |}
high#c.anti_immi#c.mcp {c |}
{space 20}1  {c |}{col 24}{res}{space 2}-.0034038{col 36}{space 2} .0055485{col 47}{space 1}   -0.61{col 56}{space 3}0.540{col 64}{space 4}-.0142908{col 77}{space 3} .0074832
{txt}{space 22} {c |}
{space 17}_cons {c |}{col 24}{res}{space 2}-.3624878{col 36}{space 2} .0825892{col 47}{space 1}   -4.39{col 56}{space 3}0.000{col 64}{space 4}-.5245412{col 77}{space 3}-.2004345
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins r.high, at(mcp =(1(0.1)7) anti_immi =(1 4 7))
{res}
{txt}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,094}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 9:1._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1}}
{lalign 9:2._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.1}}
{lalign 9:3._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.2}}
{lalign 9:4._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.3}}
{lalign 9:5._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.4}}
{lalign 9:6._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.5}}
{lalign 9:7._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.6}}
{lalign 9:8._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.7}}
{lalign 9:9._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.8}}
{lalign 9:10._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.9}}
{lalign 9:11._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2}}
{lalign 9:12._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.1}}
{lalign 9:13._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.2}}
{lalign 9:14._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.3}}
{lalign 9:15._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.4}}
{lalign 9:16._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.5}}
{lalign 9:17._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.6}}
{lalign 9:18._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.7}}
{lalign 9:19._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.8}}
{lalign 9:20._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.9}}
{lalign 9:21._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3}}
{lalign 9:22._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.1}}
{lalign 9:23._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.2}}
{lalign 9:24._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.3}}
{lalign 9:25._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.4}}
{lalign 9:26._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.5}}
{lalign 9:27._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.6}}
{lalign 9:28._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.7}}
{lalign 9:29._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.8}}
{lalign 9:30._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.9}}
{lalign 9:31._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4}}
{lalign 9:32._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.1}}
{lalign 9:33._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.2}}
{lalign 9:34._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.3}}
{lalign 9:35._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.4}}
{lalign 9:36._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.5}}
{lalign 9:37._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.6}}
{lalign 9:38._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.7}}
{lalign 9:39._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.8}}
{lalign 9:40._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.9}}
{lalign 9:41._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5}}
{lalign 9:42._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.1}}
{lalign 9:43._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.2}}
{lalign 9:44._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.3}}
{lalign 9:45._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.4}}
{lalign 9:46._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.5}}
{lalign 9:47._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.6}}
{lalign 9:48._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.7}}
{lalign 9:49._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.8}}
{lalign 9:50._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.9}}
{lalign 9:51._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6}}
{lalign 9:52._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.1}}
{lalign 9:53._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.2}}
{lalign 9:54._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.3}}
{lalign 9:55._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.4}}
{lalign 9:56._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.5}}
{lalign 9:57._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.6}}
{lalign 9:58._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.7}}
{lalign 9:59._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.8}}
{lalign 9:60._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.9}}
{lalign 9:61._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:1}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:7}}
{lalign 9:62._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1}}
{lalign 9:63._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.1}}
{lalign 9:64._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.2}}
{lalign 9:65._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.3}}
{lalign 9:66._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.4}}
{lalign 9:67._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.5}}
{lalign 9:68._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.6}}
{lalign 9:69._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.7}}
{lalign 9:70._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.8}}
{lalign 9:71._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.9}}
{lalign 9:72._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2}}
{lalign 9:73._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.1}}
{lalign 9:74._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.2}}
{lalign 9:75._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.3}}
{lalign 9:76._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.4}}
{lalign 9:77._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.5}}
{lalign 9:78._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.6}}
{lalign 9:79._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.7}}
{lalign 9:80._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.8}}
{lalign 9:81._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.9}}
{lalign 9:82._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3}}
{lalign 9:83._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.1}}
{lalign 9:84._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.2}}
{lalign 9:85._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.3}}
{lalign 9:86._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.4}}
{lalign 9:87._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.5}}
{lalign 9:88._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.6}}
{lalign 9:89._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.7}}
{lalign 9:90._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.8}}
{lalign 9:91._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.9}}
{lalign 9:92._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4}}
{lalign 9:93._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.1}}
{lalign 9:94._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.2}}
{lalign 9:95._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.3}}
{lalign 9:96._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.4}}
{lalign 9:97._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.5}}
{lalign 9:98._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.6}}
{lalign 9:99._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.7}}
{lalign 9:100._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.8}}
{lalign 9:101._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.9}}
{lalign 9:102._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5}}
{lalign 9:103._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.1}}
{lalign 9:104._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.2}}
{lalign 9:105._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.3}}
{lalign 9:106._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.4}}
{lalign 9:107._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.5}}
{lalign 9:108._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.6}}
{lalign 9:109._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.7}}
{lalign 9:110._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.8}}
{lalign 9:111._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.9}}
{lalign 9:112._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6}}
{lalign 9:113._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.1}}
{lalign 9:114._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.2}}
{lalign 9:115._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.3}}
{lalign 9:116._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.4}}
{lalign 9:117._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.5}}
{lalign 9:118._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.6}}
{lalign 9:119._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.7}}
{lalign 9:120._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.8}}
{lalign 9:121._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.9}}
{lalign 9:122._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:4}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:7}}
{lalign 9:123._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1}}
{lalign 9:124._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.1}}
{lalign 9:125._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.2}}
{lalign 9:126._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.3}}
{lalign 9:127._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.4}}
{lalign 9:128._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.5}}
{lalign 9:129._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.6}}
{lalign 9:130._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.7}}
{lalign 9:131._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.8}}
{lalign 9:132._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:1.9}}
{lalign 9:133._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2}}
{lalign 9:134._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.1}}
{lalign 9:135._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.2}}
{lalign 9:136._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.3}}
{lalign 9:137._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.4}}
{lalign 9:138._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.5}}
{lalign 9:139._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.6}}
{lalign 9:140._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.7}}
{lalign 9:141._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.8}}
{lalign 9:142._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:2.9}}
{lalign 9:143._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3}}
{lalign 9:144._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.1}}
{lalign 9:145._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.2}}
{lalign 9:146._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.3}}
{lalign 9:147._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.4}}
{lalign 9:148._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.5}}
{lalign 9:149._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.6}}
{lalign 9:150._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.7}}
{lalign 9:151._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.8}}
{lalign 9:152._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:3.9}}
{lalign 9:153._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4}}
{lalign 9:154._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.1}}
{lalign 9:155._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.2}}
{lalign 9:156._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.3}}
{lalign 9:157._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.4}}
{lalign 9:158._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.5}}
{lalign 9:159._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.6}}
{lalign 9:160._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.7}}
{lalign 9:161._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.8}}
{lalign 9:162._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:4.9}}
{lalign 9:163._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5}}
{lalign 9:164._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.1}}
{lalign 9:165._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.2}}
{lalign 9:166._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.3}}
{lalign 9:167._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.4}}
{lalign 9:168._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.5}}
{lalign 9:169._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.6}}
{lalign 9:170._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.7}}
{lalign 9:171._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.8}}
{lalign 9:172._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:5.9}}
{lalign 9:173._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6}}
{lalign 9:174._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.1}}
{lalign 9:175._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.2}}
{lalign 9:176._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.3}}
{lalign 9:177._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.4}}
{lalign 9:178._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.5}}
{lalign 9:179._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.6}}
{lalign 9:180._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.7}}
{lalign 9:181._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.8}}
{lalign 9:182._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:6.9}}
{lalign 9:183._at: }{space 0}{lalign 9:anti_immi} = {res:{ralign 3:7}}
{lalign 9:}{space 0}{lalign 9:mcp} = {res:{ralign 3:7}}

{res}{col 1}{text}{hline 14}{c TT}{hline 11}{hline 12}{hline 11}
{col 15}{text}{c |}         df{col 27}           F{col 39}        P>F
{res}{col 1}{text}{hline 14}{c +}{hline 11}{hline 12}{hline 11}
{space 5}high@_at {c |}
(1 vs 0)   1  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.00{col 39}{space 2}   0.9744
{txt}(1 vs 0)   2  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.00{col 39}{space 2}   0.9617
{txt}(1 vs 0)   3  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.00{col 39}{space 2}   0.9484
{txt}(1 vs 0)   4  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.01{col 39}{space 2}   0.9345
{txt}(1 vs 0)   5  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.01{col 39}{space 2}   0.9199
{txt}(1 vs 0)   6  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.01{col 39}{space 2}   0.9045
{txt}(1 vs 0)   7  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.02{col 39}{space 2}   0.8885
{txt}(1 vs 0)   8  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.03{col 39}{space 2}   0.8716
{txt}(1 vs 0)   9  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.03{col 39}{space 2}   0.8539
{txt}(1 vs 0)  10  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.04{col 39}{space 2}   0.8354
{txt}(1 vs 0)  11  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.05{col 39}{space 2}   0.8159
{txt}(1 vs 0)  12  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.07{col 39}{space 2}   0.7955
{txt}(1 vs 0)  13  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.08{col 39}{space 2}   0.7742
{txt}(1 vs 0)  14  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.10{col 39}{space 2}   0.7519
{txt}(1 vs 0)  15  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.12{col 39}{space 2}   0.7287
{txt}(1 vs 0)  16  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.14{col 39}{space 2}   0.7044
{txt}(1 vs 0)  17  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.17{col 39}{space 2}   0.6792
{txt}(1 vs 0)  18  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.20{col 39}{space 2}   0.6531
{txt}(1 vs 0)  19  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.24{col 39}{space 2}   0.6261
{txt}(1 vs 0)  20  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.28{col 39}{space 2}   0.5983
{txt}(1 vs 0)  21  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.32{col 39}{space 2}   0.5699
{txt}(1 vs 0)  22  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.37{col 39}{space 2}   0.5408
{txt}(1 vs 0)  23  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.43{col 39}{space 2}   0.5115
{txt}(1 vs 0)  24  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.49{col 39}{space 2}   0.4819
{txt}(1 vs 0)  25  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.56{col 39}{space 2}   0.4525
{txt}(1 vs 0)  26  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.64{col 39}{space 2}   0.4235
{txt}(1 vs 0)  27  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.72{col 39}{space 2}   0.3950
{txt}(1 vs 0)  28  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.81{col 39}{space 2}   0.3676
{txt}(1 vs 0)  29  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.91{col 39}{space 2}   0.3414
{txt}(1 vs 0)  30  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.00{col 39}{space 2}   0.3167
{txt}(1 vs 0)  31  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.10{col 39}{space 2}   0.2938
{txt}(1 vs 0)  32  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.20{col 39}{space 2}   0.2729
{txt}(1 vs 0)  33  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.30{col 39}{space 2}   0.2541
{txt}(1 vs 0)  34  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.40{col 39}{space 2}   0.2375
{txt}(1 vs 0)  35  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.49{col 39}{space 2}   0.2232
{txt}(1 vs 0)  36  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.57{col 39}{space 2}   0.2110
{txt}(1 vs 0)  37  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.64{col 39}{space 2}   0.2009
{txt}(1 vs 0)  38  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.70{col 39}{space 2}   0.1928
{txt}(1 vs 0)  39  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.75{col 39}{space 2}   0.1865
{txt}(1 vs 0)  40  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.78{col 39}{space 2}   0.1818
{txt}(1 vs 0)  41  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.81{col 39}{space 2}   0.1788
{txt}(1 vs 0)  42  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.82{col 39}{space 2}   0.1770
{txt}(1 vs 0)  43  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.83{col 39}{space 2}   0.1765
{txt}(1 vs 0)  44  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.83{col 39}{space 2}   0.1770
{txt}(1 vs 0)  45  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.81{col 39}{space 2}   0.1784
{txt}(1 vs 0)  46  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.80{col 39}{space 2}   0.1806
{txt}(1 vs 0)  47  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.77{col 39}{space 2}   0.1834
{txt}(1 vs 0)  48  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.74{col 39}{space 2}   0.1869
{txt}(1 vs 0)  49  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.71{col 39}{space 2}   0.1908
{txt}(1 vs 0)  50  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.68{col 39}{space 2}   0.1951
{txt}(1 vs 0)  51  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.65{col 39}{space 2}   0.1997
{txt}(1 vs 0)  52  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.61{col 39}{space 2}   0.2046
{txt}(1 vs 0)  53  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.58{col 39}{space 2}   0.2097
{txt}(1 vs 0)  54  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.54{col 39}{space 2}   0.2149
{txt}(1 vs 0)  55  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.50{col 39}{space 2}   0.2202
{txt}(1 vs 0)  56  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.47{col 39}{space 2}   0.2256
{txt}(1 vs 0)  57  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.44{col 39}{space 2}   0.2311
{txt}(1 vs 0)  58  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.40{col 39}{space 2}   0.2365
{txt}(1 vs 0)  59  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.37{col 39}{space 2}   0.2419
{txt}(1 vs 0)  60  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.34{col 39}{space 2}   0.2473
{txt}(1 vs 0)  61  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.31{col 39}{space 2}   0.2527
{txt}(1 vs 0)  62  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     7.40{col 39}{space 2}   0.0066
{txt}(1 vs 0)  63  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     7.51{col 39}{space 2}   0.0063
{txt}(1 vs 0)  64  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     7.61{col 39}{space 2}   0.0059
{txt}(1 vs 0)  65  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     7.72{col 39}{space 2}   0.0055
{txt}(1 vs 0)  66  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     7.83{col 39}{space 2}   0.0052
{txt}(1 vs 0)  67  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     7.95{col 39}{space 2}   0.0049
{txt}(1 vs 0)  68  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     8.07{col 39}{space 2}   0.0046
{txt}(1 vs 0)  69  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     8.18{col 39}{space 2}   0.0043
{txt}(1 vs 0)  70  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     8.30{col 39}{space 2}   0.0040
{txt}(1 vs 0)  71  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     8.42{col 39}{space 2}   0.0038
{txt}(1 vs 0)  72  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     8.54{col 39}{space 2}   0.0035
{txt}(1 vs 0)  73  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     8.65{col 39}{space 2}   0.0033
{txt}(1 vs 0)  74  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     8.76{col 39}{space 2}   0.0031
{txt}(1 vs 0)  75  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     8.86{col 39}{space 2}   0.0030
{txt}(1 vs 0)  76  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     8.95{col 39}{space 2}   0.0028
{txt}(1 vs 0)  77  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     9.03{col 39}{space 2}   0.0027
{txt}(1 vs 0)  78  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     9.09{col 39}{space 2}   0.0026
{txt}(1 vs 0)  79  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     9.13{col 39}{space 2}   0.0026
{txt}(1 vs 0)  80  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     9.14{col 39}{space 2}   0.0026
{txt}(1 vs 0)  81  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     9.12{col 39}{space 2}   0.0026
{txt}(1 vs 0)  82  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     9.06{col 39}{space 2}   0.0027
{txt}(1 vs 0)  83  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     8.95{col 39}{space 2}   0.0028
{txt}(1 vs 0)  84  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     8.79{col 39}{space 2}   0.0031
{txt}(1 vs 0)  85  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     8.58{col 39}{space 2}   0.0035
{txt}(1 vs 0)  86  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     8.30{col 39}{space 2}   0.0040
{txt}(1 vs 0)  87  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     7.97{col 39}{space 2}   0.0048
{txt}(1 vs 0)  88  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     7.58{col 39}{space 2}   0.0060
{txt}(1 vs 0)  89  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     7.13{col 39}{space 2}   0.0077
{txt}(1 vs 0)  90  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     6.63{col 39}{space 2}   0.0102
{txt}(1 vs 0)  91  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     6.09{col 39}{space 2}   0.0137
{txt}(1 vs 0)  92  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     5.53{col 39}{space 2}   0.0189
{txt}(1 vs 0)  93  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     4.95{col 39}{space 2}   0.0262
{txt}(1 vs 0)  94  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     4.38{col 39}{space 2}   0.0365
{txt}(1 vs 0)  95  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     3.83{col 39}{space 2}   0.0507
{txt}(1 vs 0)  96  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     3.30{col 39}{space 2}   0.0697
{txt}(1 vs 0)  97  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     2.80{col 39}{space 2}   0.0944
{txt}(1 vs 0)  98  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     2.35{col 39}{space 2}   0.1256
{txt}(1 vs 0)  99  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.94{col 39}{space 2}   0.1636
{txt}(1 vs 0) 100  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.58{col 39}{space 2}   0.2084
{txt}(1 vs 0) 101  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.27{col 39}{space 2}   0.2598
{txt}(1 vs 0) 102  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.00{col 39}{space 2}   0.3169
{txt}(1 vs 0) 103  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.78{col 39}{space 2}   0.3788
{txt}(1 vs 0) 104  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.59{col 39}{space 2}   0.4440
{txt}(1 vs 0) 105  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.43{col 39}{space 2}   0.5115
{txt}(1 vs 0) 106  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.31{col 39}{space 2}   0.5800
{txt}(1 vs 0) 107  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.21{col 39}{space 2}   0.6483
{txt}(1 vs 0) 108  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.13{col 39}{space 2}   0.7156
{txt}(1 vs 0) 109  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.08{col 39}{space 2}   0.7810
{txt}(1 vs 0) 110  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.04{col 39}{space 2}   0.8441
{txt}(1 vs 0) 111  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.01{col 39}{space 2}   0.9043
{txt}(1 vs 0) 112  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.00{col 39}{space 2}   0.9615
{txt}(1 vs 0) 113  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.00{col 39}{space 2}   0.9846
{txt}(1 vs 0) 114  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.01{col 39}{space 2}   0.9339
{txt}(1 vs 0) 115  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.02{col 39}{space 2}   0.8863
{txt}(1 vs 0) 116  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.04{col 39}{space 2}   0.8420
{txt}(1 vs 0) 117  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.06{col 39}{space 2}   0.8005
{txt}(1 vs 0) 118  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.09{col 39}{space 2}   0.7620
{txt}(1 vs 0) 119  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.12{col 39}{space 2}   0.7261
{txt}(1 vs 0) 120  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.16{col 39}{space 2}   0.6927
{txt}(1 vs 0) 121  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.19{col 39}{space 2}   0.6617
{txt}(1 vs 0) 122  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.23{col 39}{space 2}   0.6329
{txt}(1 vs 0) 123  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    16.59{col 39}{space 2}   0.0000
{txt}(1 vs 0) 124  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    17.16{col 39}{space 2}   0.0000
{txt}(1 vs 0) 125  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    17.77{col 39}{space 2}   0.0000
{txt}(1 vs 0) 126  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    18.40{col 39}{space 2}   0.0000
{txt}(1 vs 0) 127  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    19.06{col 39}{space 2}   0.0000
{txt}(1 vs 0) 128  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    19.74{col 39}{space 2}   0.0000
{txt}(1 vs 0) 129  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    20.44{col 39}{space 2}   0.0000
{txt}(1 vs 0) 130  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    21.15{col 39}{space 2}   0.0000
{txt}(1 vs 0) 131  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    21.87{col 39}{space 2}   0.0000
{txt}(1 vs 0) 132  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    22.57{col 39}{space 2}   0.0000
{txt}(1 vs 0) 133  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    23.26{col 39}{space 2}   0.0000
{txt}(1 vs 0) 134  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    23.92{col 39}{space 2}   0.0000
{txt}(1 vs 0) 135  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    24.51{col 39}{space 2}   0.0000
{txt}(1 vs 0) 136  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    25.03{col 39}{space 2}   0.0000
{txt}(1 vs 0) 137  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    25.44{col 39}{space 2}   0.0000
{txt}(1 vs 0) 138  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    25.72{col 39}{space 2}   0.0000
{txt}(1 vs 0) 139  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    25.84{col 39}{space 2}   0.0000
{txt}(1 vs 0) 140  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    25.78{col 39}{space 2}   0.0000
{txt}(1 vs 0) 141  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    25.52{col 39}{space 2}   0.0000
{txt}(1 vs 0) 142  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    25.04{col 39}{space 2}   0.0000
{txt}(1 vs 0) 143  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    24.35{col 39}{space 2}   0.0000
{txt}(1 vs 0) 144  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    23.46{col 39}{space 2}   0.0000
{txt}(1 vs 0) 145  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    22.38{col 39}{space 2}   0.0000
{txt}(1 vs 0) 146  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    21.16{col 39}{space 2}   0.0000
{txt}(1 vs 0) 147  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    19.82{col 39}{space 2}   0.0000
{txt}(1 vs 0) 148  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    18.40{col 39}{space 2}   0.0000
{txt}(1 vs 0) 149  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    16.96{col 39}{space 2}   0.0000
{txt}(1 vs 0) 150  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    15.51{col 39}{space 2}   0.0001
{txt}(1 vs 0) 151  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    14.09{col 39}{space 2}   0.0002
{txt}(1 vs 0) 152  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    12.73{col 39}{space 2}   0.0004
{txt}(1 vs 0) 153  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    11.44{col 39}{space 2}   0.0007
{txt}(1 vs 0) 154  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}    10.24{col 39}{space 2}   0.0014
{txt}(1 vs 0) 155  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     9.14{col 39}{space 2}   0.0026
{txt}(1 vs 0) 156  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     8.12{col 39}{space 2}   0.0045
{txt}(1 vs 0) 157  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     7.20{col 39}{space 2}   0.0074
{txt}(1 vs 0) 158  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     6.37{col 39}{space 2}   0.0117
{txt}(1 vs 0) 159  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     5.63{col 39}{space 2}   0.0179
{txt}(1 vs 0) 160  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     4.96{col 39}{space 2}   0.0262
{txt}(1 vs 0) 161  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     4.36{col 39}{space 2}   0.0370
{txt}(1 vs 0) 162  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     3.83{col 39}{space 2}   0.0505
{txt}(1 vs 0) 163  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     3.36{col 39}{space 2}   0.0670
{txt}(1 vs 0) 164  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     2.94{col 39}{space 2}   0.0864
{txt}(1 vs 0) 165  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     2.58{col 39}{space 2}   0.1088
{txt}(1 vs 0) 166  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     2.25{col 39}{space 2}   0.1340
{txt}(1 vs 0) 167  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.96{col 39}{space 2}   0.1619
{txt}(1 vs 0) 168  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.70{col 39}{space 2}   0.1920
{txt}(1 vs 0) 169  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.48{col 39}{space 2}   0.2242
{txt}(1 vs 0) 170  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.28{col 39}{space 2}   0.2581
{txt}(1 vs 0) 171  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     1.10{col 39}{space 2}   0.2934
{txt}(1 vs 0) 172  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.95{col 39}{space 2}   0.3298
{txt}(1 vs 0) 173  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.81{col 39}{space 2}   0.3668
{txt}(1 vs 0) 174  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.70{col 39}{space 2}   0.4044
{txt}(1 vs 0) 175  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.59{col 39}{space 2}   0.4421
{txt}(1 vs 0) 176  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.50{col 39}{space 2}   0.4798
{txt}(1 vs 0) 177  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.42{col 39}{space 2}   0.5172
{txt}(1 vs 0) 178  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.35{col 39}{space 2}   0.5543
{txt}(1 vs 0) 179  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.29{col 39}{space 2}   0.5907
{txt}(1 vs 0) 180  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.24{col 39}{space 2}   0.6265
{txt}(1 vs 0) 181  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.19{col 39}{space 2}   0.6616
{txt}(1 vs 0) 182  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.15{col 39}{space 2}   0.6958
{txt}(1 vs 0) 183  {res}{col 15}{text}{c |}{result}{space 2}        1{col 27}{space 3}     0.12{col 39}{space 2}   0.7290
{col 1}{text}       Joint {col 15}{c |}{result}{space 2}        4{col 27}{space 3}     7.13{col 39}{space 2}   0.0000
{col 15}{text}{c |}
{res}{col 1}{text}  Denominator{col 15}{c |}{result}{space 2}     1081
{col 1}{text}{hline 14}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 15}{c |}{col 27} Delta-method
{col 15}{c |}   Contrast{col 27}   std. err.{col 39}     [95% con{col 52}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 5}high@_at {c |}
(1 vs 0)   1  {c |}{col 15}{res}{space 2}-.0024655{col 27}{space 2} .0768921{col 38}{space 5}-.1533402{col 52}{space 3} .1484092
{txt}(1 vs 0)   2  {c |}{col 15}{res}{space 2}-.0036034{col 27}{space 2} .0750875{col 38}{space 5}-.1509373{col 52}{space 3} .1437304
{txt}(1 vs 0)   3  {c |}{col 15}{res}{space 2}-.0047414{col 27}{space 2} .0732939{col 38}{space 5}-.1485558{col 52}{space 3}  .139073
{txt}(1 vs 0)   4  {c |}{col 15}{res}{space 2}-.0058794{col 27}{space 2}  .071512{col 38}{space 5}-.1461975{col 52}{space 3} .1344388
{txt}(1 vs 0)   5  {c |}{col 15}{res}{space 2}-.0070173{col 27}{space 2} .0697428{col 38}{space 5}-.1438639{col 52}{space 3} .1298293
{txt}(1 vs 0)   6  {c |}{col 15}{res}{space 2}-.0081553{col 27}{space 2} .0679872{col 38}{space 5}-.1415571{col 52}{space 3} .1252466
{txt}(1 vs 0)   7  {c |}{col 15}{res}{space 2}-.0092932{col 27}{space 2} .0662464{col 38}{space 5}-.1392792{col 52}{space 3} .1206928
{txt}(1 vs 0)   8  {c |}{col 15}{res}{space 2}-.0104312{col 27}{space 2} .0645214{col 38}{space 5}-.1370326{col 52}{space 3} .1161702
{txt}(1 vs 0)   9  {c |}{col 15}{res}{space 2}-.0115691{col 27}{space 2} .0628137{col 38}{space 5}-.1348197{col 52}{space 3} .1116815
{txt}(1 vs 0)  10  {c |}{col 15}{res}{space 2}-.0127071{col 27}{space 2} .0611247{col 38}{space 5}-.1326435{col 52}{space 3} .1072294
{txt}(1 vs 0)  11  {c |}{col 15}{res}{space 2} -.013845{col 27}{space 2} .0594559{col 38}{space 5} -.130507{col 52}{space 3}  .102817
{txt}(1 vs 0)  12  {c |}{col 15}{res}{space 2} -.014983{col 27}{space 2} .0578091{col 38}{space 5}-.1284138{col 52}{space 3} .0984479
{txt}(1 vs 0)  13  {c |}{col 15}{res}{space 2}-.0161209{col 27}{space 2} .0561863{col 38}{space 5}-.1263675{col 52}{space 3} .0941257
{txt}(1 vs 0)  14  {c |}{col 15}{res}{space 2}-.0172589{col 27}{space 2} .0545896{col 38}{space 5}-.1243725{col 52}{space 3} .0898548
{txt}(1 vs 0)  15  {c |}{col 15}{res}{space 2}-.0183968{col 27}{space 2} .0530214{col 38}{space 5}-.1224333{col 52}{space 3} .0856396
{txt}(1 vs 0)  16  {c |}{col 15}{res}{space 2}-.0195348{col 27}{space 2} .0514842{col 38}{space 5} -.120555{col 52}{space 3} .0814854
{txt}(1 vs 0)  17  {c |}{col 15}{res}{space 2}-.0206727{col 27}{space 2} .0499809{col 38}{space 5}-.1187432{col 52}{space 3} .0773978
{txt}(1 vs 0)  18  {c |}{col 15}{res}{space 2}-.0218107{col 27}{space 2} .0485146{col 38}{space 5}-.1170042{col 52}{space 3} .0733829
{txt}(1 vs 0)  19  {c |}{col 15}{res}{space 2}-.0229486{col 27}{space 2} .0470889{col 38}{space 5}-.1153447{col 52}{space 3} .0694475
{txt}(1 vs 0)  20  {c |}{col 15}{res}{space 2}-.0240866{col 27}{space 2} .0457076{col 38}{space 5}-.1137722{col 52}{space 3}  .065599
{txt}(1 vs 0)  21  {c |}{col 15}{res}{space 2}-.0252245{col 27}{space 2} .0443747{col 38}{space 5}-.1122947{col 52}{space 3} .0618457
{txt}(1 vs 0)  22  {c |}{col 15}{res}{space 2}-.0263625{col 27}{space 2} .0430947{col 38}{space 5}-.1109212{col 52}{space 3} .0581963
{txt}(1 vs 0)  23  {c |}{col 15}{res}{space 2}-.0275004{col 27}{space 2} .0418726{col 38}{space 5}-.1096611{col 52}{space 3} .0546603
{txt}(1 vs 0)  24  {c |}{col 15}{res}{space 2}-.0286384{col 27}{space 2} .0407134{col 38}{space 5}-.1085247{col 52}{space 3} .0512479
{txt}(1 vs 0)  25  {c |}{col 15}{res}{space 2}-.0297763{col 27}{space 2} .0396229{col 38}{space 5}-.1075228{col 52}{space 3} .0479701
{txt}(1 vs 0)  26  {c |}{col 15}{res}{space 2}-.0309143{col 27}{space 2} .0386067{col 38}{space 5}-.1066668{col 52}{space 3} .0448382
{txt}(1 vs 0)  27  {c |}{col 15}{res}{space 2}-.0320522{col 27}{space 2} .0376709{col 38}{space 5}-.1059685{col 52}{space 3} .0418641
{txt}(1 vs 0)  28  {c |}{col 15}{res}{space 2}-.0331902{col 27}{space 2} .0368216{col 38}{space 5}  -.10544{col 52}{space 3} .0390596
{txt}(1 vs 0)  29  {c |}{col 15}{res}{space 2}-.0343281{col 27}{space 2} .0360649{col 38}{space 5}-.1050932{col 52}{space 3} .0364369
{txt}(1 vs 0)  30  {c |}{col 15}{res}{space 2}-.0354661{col 27}{space 2} .0354067{col 38}{space 5}-.1049398{col 52}{space 3} .0340077
{txt}(1 vs 0)  31  {c |}{col 15}{res}{space 2} -.036604{col 27}{space 2} .0348528{col 38}{space 5}-.1049908{col 52}{space 3} .0317827
{txt}(1 vs 0)  32  {c |}{col 15}{res}{space 2} -.037742{col 27}{space 2}  .034408{col 38}{space 5} -.105256{col 52}{space 3}  .029772
{txt}(1 vs 0)  33  {c |}{col 15}{res}{space 2}-.0388799{col 27}{space 2} .0340766{col 38}{space 5}-.1057438{col 52}{space 3} .0279839
{txt}(1 vs 0)  34  {c |}{col 15}{res}{space 2}-.0400179{col 27}{space 2} .0338621{col 38}{space 5}-.1064607{col 52}{space 3} .0264249
{txt}(1 vs 0)  35  {c |}{col 15}{res}{space 2}-.0411558{col 27}{space 2} .0337665{col 38}{space 5}-.1074112{col 52}{space 3} .0250995
{txt}(1 vs 0)  36  {c |}{col 15}{res}{space 2}-.0422938{col 27}{space 2}  .033791{col 38}{space 5}-.1085972{col 52}{space 3} .0240096
{txt}(1 vs 0)  37  {c |}{col 15}{res}{space 2}-.0434317{col 27}{space 2} .0339352{col 38}{space 5}-.1100181{col 52}{space 3} .0231546
{txt}(1 vs 0)  38  {c |}{col 15}{res}{space 2}-.0445697{col 27}{space 2} .0341977{col 38}{space 5}-.1116711{col 52}{space 3} .0225317
{txt}(1 vs 0)  39  {c |}{col 15}{res}{space 2}-.0457076{col 27}{space 2} .0345757{col 38}{space 5}-.1135508{col 52}{space 3} .0221355
{txt}(1 vs 0)  40  {c |}{col 15}{res}{space 2}-.0468456{col 27}{space 2} .0350656{col 38}{space 5}-.1156499{col 52}{space 3} .0219587
{txt}(1 vs 0)  41  {c |}{col 15}{res}{space 2}-.0479835{col 27}{space 2} .0356626{col 38}{space 5}-.1179593{col 52}{space 3} .0219922
{txt}(1 vs 0)  42  {c |}{col 15}{res}{space 2}-.0491215{col 27}{space 2} .0363616{col 38}{space 5}-.1204688{col 52}{space 3} .0222258
{txt}(1 vs 0)  43  {c |}{col 15}{res}{space 2}-.0502594{col 27}{space 2} .0371567{col 38}{space 5}-.1231669{col 52}{space 3}  .022648
{txt}(1 vs 0)  44  {c |}{col 15}{res}{space 2}-.0513974{col 27}{space 2}  .038042{col 38}{space 5} -.126042{col 52}{space 3} .0232472
{txt}(1 vs 0)  45  {c |}{col 15}{res}{space 2}-.0525354{col 27}{space 2} .0390113{col 38}{space 5}-.1290818{col 52}{space 3} .0240111
{txt}(1 vs 0)  46  {c |}{col 15}{res}{space 2}-.0536733{col 27}{space 2} .0400585{col 38}{space 5}-.1322746{col 52}{space 3}  .024928
{txt}(1 vs 0)  47  {c |}{col 15}{res}{space 2}-.0548113{col 27}{space 2} .0411777{col 38}{space 5}-.1356085{col 52}{space 3}  .025986
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{txt}(1 vs 0) 179  {c |}{col 15}{res}{space 2} .0433395{col 27}{space 2} .0805676{col 38}{space 5}-.1147471{col 52}{space 3} .2014261
{txt}(1 vs 0) 180  {c |}{col 15}{res}{space 2} .0401593{col 27}{space 2} .0825061{col 38}{space 5} -.121731{col 52}{space 3} .2020495
{txt}(1 vs 0) 181  {c |}{col 15}{res}{space 2}  .036979{col 27}{space 2} .0844527{col 38}{space 5}-.1287307{col 52}{space 3} .2026888
{txt}(1 vs 0) 182  {c |}{col 15}{res}{space 2} .0337988{col 27}{space 2} .0864067{col 38}{space 5}-.1357451{col 52}{space 3} .2033428
{txt}(1 vs 0) 183  {c |}{col 15}{res}{space 2} .0306186{col 27}{space 2} .0883678{col 38}{space 5}-.1427733{col 52}{space 3} .2040105
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. marginsplot,  level(95) recast(line) ciopt(color(%25)) recastci(rarea) xlabel(1(1)7) ///
>         xlabel(1(1)7) xscale(r(1 7)) title("")  ///
>         xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ytitle("{c -(}&Delta{c )-}Pr of {c -(}it:Liking SD{c )-} (Contrasts" "between groups at levels" "of {c -(}it:Anti-Immigration Attitude{c )-})") ///
>         graphregion(c(white)) plot1opts(lpattern(dash)) plot2opts(lpattern(longdash_dot)) ///
>         ci1opt(color(%25))ci2opt(color(%25)) ci3opt(color(%25)) yline(0) scheme(s2mono) name(lpm_interact2, replace) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  xlabel(1(1)7) fcolor(gray%20)  ///
>         ytitle("Percentage of Observations", axis(2))lcolor(black%30)  /// 
>         yscale(alt axis(2)))  xlabel(1(1)7) xscale(r(1 7)) yline(0) leg(off) ///
>         note("(11.1)", position(11)) 
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp anti_immi}{p_end}
{res}{txt}
{com}.         
. 
. graph combine lpm_interact1 lpm_interact2,  col(2) xsize(11) ysize(4) ///
>         graphregion(margin(zero)) scale(2) name(fig11, replace)
{res}{txt}
{com}. 
. graph save fig11 "fig_interact.gph", replace
{txt}{p 0 4 2}
(file {bf}
fig_interact.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:fig_interact.gph} saved

{com}. graph export fig11.tif, replace 
{txt}{p 0 4 2}
(file {bf}
fig11.tif{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fig11.tif{rm}
saved as
TIFF
format
{p_end}

{com}. graph close lpm_interact1 lpm_interact2 
{txt}
{com}. 
. gen mcp_interaction = mcp <= 4.25
{txt}
{com}. gen anti_immi_interaction = anti_immi >= 4
{txt}
{com}. gen n = .
{txt}(1,133 missing values generated)

{com}. replace n = 1 if anti_immi_interaction == 1 & mcp_interaction == 1
{txt}(386 real changes made)

{com}. 
. replace n = 0 if n != 1
{txt}(747 real changes made)

{com}. replace n = . if mcp == .
{txt}(26 real changes made, 26 to missing)

{com}. replace n = . if anti_immi ==.
{txt}(5 real changes made, 5 to missing)

{com}. 
. tab n 

          {txt}n {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        719       65.25       65.25
{txt}          1 {c |}{res}        383       34.75      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,102      100.00
{txt}
{com}. drop n
{txt}
{com}. 
. 
. 
.  
.  **A9 - VOTE INTENTION SD**
. eststo: quietly regress votesd high mcp anti_immi left_right sex polint unemp edu
{txt}({res}est1{txt} stored)

{com}. eststo: quietly regress votesd anti_immi high mcp left_right sex polint unemp edu i.high#c.mcp 
{txt}({res}est2{txt} stored)

{com}. esttab using A9.rtf, replace se label title(Linear Probability Model(LPM)\label{c -(}tab1{c )-})  
{res}{txt}{p 0 4 2}
(file {bf}
A9.rtf{rm}
not found)
{p_end}
(output written to {browse  `"A9.rtf"'})

{com}. eststo clear
{txt}
{com}.  
. reg votesd i.high##c.mcp anti_immi left_right sex polint unemp edu

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,094
{txt}{hline 13}{c +}{hline 34}   F(9, 1084)      = {res}    42.32
{txt}       Model {c |} {res} 34.0276674         9  3.78085193   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 96.8535026     1,084   .08934825   {txt}R-squared       ={res}    0.2600
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2538
{txt}       Total {c |} {res}  130.88117     1,093  .119744895   {txt}Root MSE        =   {res} .29891

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      votesd{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.high {c |}{col 14}{res}{space 2} .1140525{col 26}{space 2}  .050415{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .0151304{col 67}{space 3} .2129745
{txt}{space 9}mcp {c |}{col 14}{res}{space 2}-.0273032{col 26}{space 2} .0078147{col 37}{space 1}   -3.49{col 46}{space 3}0.000{col 54}{space 4}-.0426369{col 67}{space 3}-.0119695
{txt}{space 12} {c |}
{space 2}high#c.mcp {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0198753{col 26}{space 2} .0118754{col 37}{space 1}   -1.67{col 46}{space 3}0.094{col 54}{space 4}-.0431766{col 67}{space 3}  .003426
{txt}{space 12} {c |}
{space 3}anti_immi {c |}{col 14}{res}{space 2} .0643352{col 26}{space 2} .0059027{col 37}{space 1}   10.90{col 46}{space 3}0.000{col 54}{space 4} .0527532{col 67}{space 3} .0759172
{txt}{space 2}left_right {c |}{col 14}{res}{space 2}  .011994{col 26}{space 2}  .006932{col 37}{space 1}    1.73{col 46}{space 3}0.084{col 54}{space 4}-.0016076{col 67}{space 3} .0255955
{txt}{space 9}sex {c |}{col 14}{res}{space 2}  .002556{col 26}{space 2} .0193795{col 37}{space 1}    0.13{col 46}{space 3}0.895{col 54}{space 4}-.0354696{col 67}{space 3} .0405817
{txt}{space 6}polint {c |}{col 14}{res}{space 2} -.018906{col 26}{space 2} .0148222{col 37}{space 1}   -1.28{col 46}{space 3}0.202{col 54}{space 4}-.0479894{col 67}{space 3} .0101774
{txt}{space 7}unemp {c |}{col 14}{res}{space 2} .0271709{col 26}{space 2}  .018691{col 37}{space 1}    1.45{col 46}{space 3}0.146{col 54}{space 4}-.0095037{col 67}{space 3} .0638456
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-.0167916{col 26}{space 2} .0047241{col 37}{space 1}   -3.55{col 46}{space 3}0.000{col 54}{space 4} -.026061{col 67}{space 3}-.0075222
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0479556{col 26}{space 2} .0648543{col 37}{space 1}    0.74{col 46}{space 3}0.460{col 54}{space 4}-.0792987{col 67}{space 3} .1752098
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins  high, at(mcp=(1(0.2)7)) 
{res}
{txt}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,094}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.2}}
{lalign 8:3._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.4}}
{lalign 8:4._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.6}}
{lalign 8:5._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.8}}
{lalign 8:6._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2}}
{lalign 8:7._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.2}}
{lalign 8:8._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.4}}
{lalign 8:9._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.6}}
{lalign 8:10._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.8}}
{lalign 8:11._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3}}
{lalign 8:12._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.2}}
{lalign 8:13._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.4}}
{lalign 8:14._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.6}}
{lalign 8:15._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.8}}
{lalign 8:16._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4}}
{lalign 8:17._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.2}}
{lalign 8:18._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.4}}
{lalign 8:19._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.6}}
{lalign 8:20._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.8}}
{lalign 8:21._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5}}
{lalign 8:22._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.2}}
{lalign 8:23._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.4}}
{lalign 8:24._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.6}}
{lalign 8:25._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.8}}
{lalign 8:26._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6}}
{lalign 8:27._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.2}}
{lalign 8:28._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.4}}
{lalign 8:29._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.6}}
{lalign 8:30._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.8}}
{lalign 8:31._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:7}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}_at#high {c |}
{space 7} 1 0  {c |}{col 14}{res}{space 2} .2054393{col 26}{space 2} .0246524{col 37}{space 1}    8.33{col 46}{space 3}0.000{col 54}{space 4} .1570674{col 67}{space 3} .2538112
{txt}{space 7} 1 1  {c |}{col 14}{res}{space 2} .2996164{col 26}{space 2} .0335423{col 37}{space 1}    8.93{col 46}{space 3}0.000{col 54}{space 4} .2338012{col 67}{space 3} .3654316
{txt}{space 7} 2 0  {c |}{col 14}{res}{space 2} .1999786{col 26}{space 2} .0232731{col 37}{space 1}    8.59{col 46}{space 3}0.000{col 54}{space 4} .1543132{col 67}{space 3}  .245644
{txt}{space 7} 2 1  {c |}{col 14}{res}{space 2} .2901807{col 26}{space 2} .0317849{col 37}{space 1}    9.13{col 46}{space 3}0.000{col 54}{space 4} .2278138{col 67}{space 3} .3525476
{txt}{space 7} 3 0  {c |}{col 14}{res}{space 2}  .194518{col 26}{space 2} .0219184{col 37}{space 1}    8.87{col 46}{space 3}0.000{col 54}{space 4} .1515107{col 67}{space 3} .2375252
{txt}{space 7} 3 1  {c |}{col 14}{res}{space 2}  .280745{col 26}{space 2} .0300562{col 37}{space 1}    9.34{col 46}{space 3}0.000{col 54}{space 4} .2217701{col 67}{space 3} .3397199
{txt}{space 7} 4 0  {c |}{col 14}{res}{space 2} .1890573{col 26}{space 2} .0205932{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1486503{col 67}{space 3} .2294644
{txt}{space 7} 4 1  {c |}{col 14}{res}{space 2} .2713093{col 26}{space 2} .0283614{col 37}{space 1}    9.57{col 46}{space 3}0.000{col 54}{space 4} .2156599{col 67}{space 3} .3269587
{txt}{space 7} 5 0  {c |}{col 14}{res}{space 2} .1835967{col 26}{space 2} .0193036{col 37}{space 1}    9.51{col 46}{space 3}0.000{col 54}{space 4}   .14572{col 67}{space 3} .2214734
{txt}{space 7} 5 1  {c |}{col 14}{res}{space 2} .2618736{col 26}{space 2} .0267069{col 37}{space 1}    9.81{col 46}{space 3}0.000{col 54}{space 4} .2094705{col 67}{space 3} .3142767
{txt}{space 7} 6 0  {c |}{col 14}{res}{space 2} .1781361{col 26}{space 2} .0180573{col 37}{space 1}    9.87{col 46}{space 3}0.000{col 54}{space 4} .1427048{col 67}{space 3} .2135673
{txt}{space 7} 6 1  {c |}{col 14}{res}{space 2} .2524379{col 26}{space 2} .0251008{col 37}{space 1}   10.06{col 46}{space 3}0.000{col 54}{space 4} .2031863{col 67}{space 3} .3016895
{txt}{space 7} 7 0  {c |}{col 14}{res}{space 2} .1726754{col 26}{space 2} .0168638{col 37}{space 1}   10.24{col 46}{space 3}0.000{col 54}{space 4}  .139586{col 67}{space 3} .2057648
{txt}{space 7} 7 1  {c |}{col 14}{res}{space 2} .2430022{col 26}{space 2} .0235529{col 37}{space 1}   10.32{col 46}{space 3}0.000{col 54}{space 4} .1967877{col 67}{space 3} .2892167
{txt}{space 7} 8 0  {c |}{col 14}{res}{space 2} .1672148{col 26}{space 2} .0157352{col 37}{space 1}   10.63{col 46}{space 3}0.000{col 54}{space 4}   .13634{col 67}{space 3} .1980896
{txt}{space 7} 8 1  {c |}{col 14}{res}{space 2} .2335665{col 26}{space 2} .0220755{col 37}{space 1}   10.58{col 46}{space 3}0.000{col 54}{space 4} .1902509{col 67}{space 3} .2768821
{txt}{space 7} 9 0  {c |}{col 14}{res}{space 2} .1617541{col 26}{space 2} .0146863{col 37}{space 1}   11.01{col 46}{space 3}0.000{col 54}{space 4} .1329373{col 67}{space 3}  .190571
{txt}{space 7} 9 1  {c |}{col 14}{res}{space 2} .2241308{col 26}{space 2} .0206838{col 37}{space 1}   10.84{col 46}{space 3}0.000{col 54}{space 4} .1835461{col 67}{space 3} .2647155
{txt}{space 7}10 0  {c |}{col 14}{res}{space 2} .1562935{col 26}{space 2} .0137356{col 37}{space 1}   11.38{col 46}{space 3}0.000{col 54}{space 4} .1293422{col 67}{space 3} .1832448
{txt}{space 7}10 1  {c |}{col 14}{res}{space 2} .2146951{col 26}{space 2}  .019396{col 37}{space 1}   11.07{col 46}{space 3}0.000{col 54}{space 4} .1766371{col 67}{space 3} .2527531
{txt}{space 7}11 0  {c |}{col 14}{res}{space 2} .1508328{col 26}{space 2} .0129047{col 37}{space 1}   11.69{col 46}{space 3}0.000{col 54}{space 4} .1255119{col 67}{space 3} .1761538
{txt}{space 7}11 1  {c |}{col 14}{res}{space 2} .2052594{col 26}{space 2} .0182344{col 37}{space 1}   11.26{col 46}{space 3}0.000{col 54}{space 4} .1694807{col 67}{space 3}  .241038
{txt}{space 7}12 0  {c |}{col 14}{res}{space 2} .1453722{col 26}{space 2}  .012218{col 37}{space 1}   11.90{col 46}{space 3}0.000{col 54}{space 4} .1213986{col 67}{space 3} .1693458
{txt}{space 7}12 1  {c |}{col 14}{res}{space 2} .1958237{col 26}{space 2} .0172243{col 37}{space 1}   11.37{col 46}{space 3}0.000{col 54}{space 4} .1620268{col 67}{space 3} .2296205
{txt}{space 7}13 0  {c |}{col 14}{res}{space 2} .1399116{col 26}{space 2}  .011701{col 37}{space 1}   11.96{col 46}{space 3}0.000{col 54}{space 4} .1169523{col 67}{space 3} .1628708
{txt}{space 7}13 1  {c |}{col 14}{res}{space 2}  .186388{col 26}{space 2}  .016394{col 37}{space 1}   11.37{col 46}{space 3}0.000{col 54}{space 4} .1542204{col 67}{space 3} .2185556
{txt}{space 7}14 0  {c |}{col 14}{res}{space 2} .1344509{col 26}{space 2}  .011377{col 37}{space 1}   11.82{col 46}{space 3}0.000{col 54}{space 4} .1121276{col 67}{space 3} .1567743
{txt}{space 7}14 1  {c |}{col 14}{res}{space 2} .1769523{col 26}{space 2} .0157717{col 37}{space 1}   11.22{col 46}{space 3}0.000{col 54}{space 4} .1460057{col 67}{space 3} .2078989
{txt}{space 7}15 0  {c |}{col 14}{res}{space 2} .1289903{col 26}{space 2} .0112624{col 37}{space 1}   11.45{col 46}{space 3}0.000{col 54}{space 4} .1068917{col 67}{space 3} .1510888
{txt}{space 7}15 1  {c |}{col 14}{res}{space 2} .1675166{col 26}{space 2} .0153828{col 37}{space 1}   10.89{col 46}{space 3}0.000{col 54}{space 4} .1373331{col 67}{space 3}    .1977
{txt}{space 7}16 0  {c |}{col 14}{res}{space 2} .1235296{col 26}{space 2} .0113637{col 37}{space 1}   10.87{col 46}{space 3}0.000{col 54}{space 4} .1012324{col 67}{space 3} .1458269
{txt}{space 7}16 1  {c |}{col 14}{res}{space 2} .1580809{col 26}{space 2} .0152451{col 37}{space 1}   10.37{col 46}{space 3}0.000{col 54}{space 4} .1281676{col 67}{space 3} .1879942
{txt}{space 7}17 0  {c |}{col 14}{res}{space 2}  .118069{col 26}{space 2} .0116752{col 37}{space 1}   10.11{col 46}{space 3}0.000{col 54}{space 4} .0951605{col 67}{space 3} .1409776
{txt}{space 7}17 1  {c |}{col 14}{res}{space 2} .1486452{col 26}{space 2} .0153654{col 37}{space 1}    9.67{col 46}{space 3}0.000{col 54}{space 4} .1184959{col 67}{space 3} .1787945
{txt}{space 7}18 0  {c |}{col 14}{res}{space 2} .1126084{col 26}{space 2} .0121809{col 37}{space 1}    9.24{col 46}{space 3}0.000{col 54}{space 4} .0887076{col 67}{space 3} .1365091
{txt}{space 7}18 1  {c |}{col 14}{res}{space 2} .1392095{col 26}{space 2} .0157377{col 37}{space 1}    8.85{col 46}{space 3}0.000{col 54}{space 4} .1083296{col 67}{space 3} .1700893
{txt}{space 7}19 0  {c |}{col 14}{res}{space 2} .1071477{col 26}{space 2} .0128577{col 37}{space 1}    8.33{col 46}{space 3}0.000{col 54}{space 4} .0819188{col 67}{space 3} .1323766
{txt}{space 7}19 1  {c |}{col 14}{res}{space 2} .1297738{col 26}{space 2} .0163449{col 37}{space 1}    7.94{col 46}{space 3}0.000{col 54}{space 4} .0977025{col 67}{space 3}  .161845
{txt}{space 7}20 0  {c |}{col 14}{res}{space 2} .1016871{col 26}{space 2} .0136805{col 37}{space 1}    7.43{col 46}{space 3}0.000{col 54}{space 4} .0748438{col 67}{space 3} .1285303
{txt}{space 7}20 1  {c |}{col 14}{res}{space 2} .1203381{col 26}{space 2}  .017162{col 37}{space 1}    7.01{col 46}{space 3}0.000{col 54}{space 4} .0866635{col 67}{space 3} .1540126
{txt}{space 7}21 0  {c |}{col 14}{res}{space 2} .0962264{col 26}{space 2} .0146245{col 37}{space 1}    6.58{col 46}{space 3}0.000{col 54}{space 4} .0675309{col 67}{space 3} .1249219
{txt}{space 7}21 1  {c |}{col 14}{res}{space 2} .1109024{col 26}{space 2} .0181608{col 37}{space 1}    6.11{col 46}{space 3}0.000{col 54}{space 4} .0752681{col 67}{space 3} .1465366
{txt}{space 7}22 0  {c |}{col 14}{res}{space 2} .0907658{col 26}{space 2} .0156678{col 37}{space 1}    5.79{col 46}{space 3}0.000{col 54}{space 4} .0600231{col 67}{space 3} .1215085
{txt}{space 7}22 1  {c |}{col 14}{res}{space 2} .1014667{col 26}{space 2}  .019313{col 37}{space 1}    5.25{col 46}{space 3}0.000{col 54}{space 4} .0635716{col 67}{space 3} .1393617
{txt}{space 7}23 0  {c |}{col 14}{res}{space 2} .0853051{col 26}{space 2}  .016792{col 37}{space 1}    5.08{col 46}{space 3}0.000{col 54}{space 4} .0523566{col 67}{space 3} .1182537
{txt}{space 7}23 1  {c |}{col 14}{res}{space 2} .0920309{col 26}{space 2} .0205929{col 37}{space 1}    4.47{col 46}{space 3}0.000{col 54}{space 4} .0516245{col 67}{space 3} .1324374
{txt}{space 7}24 0  {c |}{col 14}{res}{space 2} .0798445{col 26}{space 2} .0179819{col 37}{space 1}    4.44{col 46}{space 3}0.000{col 54}{space 4} .0445613{col 67}{space 3} .1151277
{txt}{space 7}24 1  {c |}{col 14}{res}{space 2} .0825953{col 26}{space 2} .0219782{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} .0394705{col 67}{space 3}   .12572
{txt}{space 7}25 0  {c |}{col 14}{res}{space 2} .0743839{col 26}{space 2} .0192252{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4}  .036661{col 67}{space 3} .1121067
{txt}{space 7}25 1  {c |}{col 14}{res}{space 2} .0731595{col 26}{space 2} .0234503{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .0271463{col 67}{space 3} .1191727
{txt}{space 7}26 0  {c |}{col 14}{res}{space 2} .0689232{col 26}{space 2} .0205124{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .0286748{col 67}{space 3} .1091717
{txt}{space 7}26 1  {c |}{col 14}{res}{space 2} .0637238{col 26}{space 2} .0249938{col 37}{space 1}    2.55{col 46}{space 3}0.011{col 54}{space 4} .0146821{col 67}{space 3} .1127656
{txt}{space 7}27 0  {c |}{col 14}{res}{space 2} .0634626{col 26}{space 2} .0218355{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .0206179{col 67}{space 3} .1063073
{txt}{space 7}27 1  {c |}{col 14}{res}{space 2} .0542882{col 26}{space 2} .0265963{col 37}{space 1}    2.04{col 46}{space 3}0.041{col 54}{space 4}  .002102{col 67}{space 3} .1064743
{txt}{space 7}28 0  {c |}{col 14}{res}{space 2} .0580019{col 26}{space 2} .0231886{col 37}{space 1}    2.50{col 46}{space 3}0.013{col 54}{space 4} .0125024{col 67}{space 3} .1035015
{txt}{space 7}28 1  {c |}{col 14}{res}{space 2} .0448524{col 26}{space 2} .0282478{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0105741{col 67}{space 3}  .100279
{txt}{space 7}29 0  {c |}{col 14}{res}{space 2} .0525413{col 26}{space 2} .0245665{col 37}{space 1}    2.14{col 46}{space 3}0.033{col 54}{space 4}  .004338{col 67}{space 3} .1007446
{txt}{space 7}29 1  {c |}{col 14}{res}{space 2} .0354167{col 26}{space 2} .0299401{col 37}{space 1}    1.18{col 46}{space 3}0.237{col 54}{space 4}-.0233304{col 67}{space 3} .0941638
{txt}{space 7}30 0  {c |}{col 14}{res}{space 2} .0470807{col 26}{space 2} .0259654{col 37}{space 1}    1.81{col 46}{space 3}0.070{col 54}{space 4}-.0038675{col 67}{space 3} .0980288
{txt}{space 7}30 1  {c |}{col 14}{res}{space 2}  .025981{col 26}{space 2} .0316667{col 37}{space 1}    0.82{col 46}{space 3}0.412{col 54}{space 4}-.0361539{col 67}{space 3}  .088116
{txt}{space 7}31 0  {c |}{col 14}{res}{space 2}   .04162{col 26}{space 2} .0273821{col 37}{space 1}    1.52{col 46}{space 3}0.129{col 54}{space 4}-.0121079{col 67}{space 3} .0953479
{txt}{space 7}31 1  {c |}{col 14}{res}{space 2} .0165453{col 26}{space 2} .0334223{col 37}{space 1}    0.50{col 46}{space 3}0.621{col 54}{space 4}-.0490344{col 67}{space 3}  .082125
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%60)) recastci(rarea) xlabel(1(1)7) ///
>         xlabel(1(1)7) xscale(r(1 7)) title("") ///
>         xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ytitle("Pr - {c -(}it:Vote Intention SD{c )-}")  ylabel(0(.1)0.4) graphregion(c(white)) ///
>         yline(0) scheme(s2mono) name(A9_1, replace) plot2opts(lpattern(longdash)) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  xlabel(1(1)7) fcolor(gray%20)  ///
>         ytitle("Percentage of Observations", axis(2))lcolor(black%30) leg(off)  /// 
>         yscale(alt axis(2))) ylabel(0(.1)0.4) xlabel(1(1)7) xscale(r(1 7)) ///
>         note("(A9.1)", position(11))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp high}{p_end}
{res}{txt}
{com}.  
. reg votesd i.high##c.mcp anti_immi left_right sex polint unemp edu

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,094
{txt}{hline 13}{c +}{hline 34}   F(9, 1084)      = {res}    42.32
{txt}       Model {c |} {res} 34.0276674         9  3.78085193   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 96.8535026     1,084   .08934825   {txt}R-squared       ={res}    0.2600
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2538
{txt}       Total {c |} {res}  130.88117     1,093  .119744895   {txt}Root MSE        =   {res} .29891

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      votesd{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.high {c |}{col 14}{res}{space 2} .1140525{col 26}{space 2}  .050415{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .0151304{col 67}{space 3} .2129745
{txt}{space 9}mcp {c |}{col 14}{res}{space 2}-.0273032{col 26}{space 2} .0078147{col 37}{space 1}   -3.49{col 46}{space 3}0.000{col 54}{space 4}-.0426369{col 67}{space 3}-.0119695
{txt}{space 12} {c |}
{space 2}high#c.mcp {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0198753{col 26}{space 2} .0118754{col 37}{space 1}   -1.67{col 46}{space 3}0.094{col 54}{space 4}-.0431766{col 67}{space 3}  .003426
{txt}{space 12} {c |}
{space 3}anti_immi {c |}{col 14}{res}{space 2} .0643352{col 26}{space 2} .0059027{col 37}{space 1}   10.90{col 46}{space 3}0.000{col 54}{space 4} .0527532{col 67}{space 3} .0759172
{txt}{space 2}left_right {c |}{col 14}{res}{space 2}  .011994{col 26}{space 2}  .006932{col 37}{space 1}    1.73{col 46}{space 3}0.084{col 54}{space 4}-.0016076{col 67}{space 3} .0255955
{txt}{space 9}sex {c |}{col 14}{res}{space 2}  .002556{col 26}{space 2} .0193795{col 37}{space 1}    0.13{col 46}{space 3}0.895{col 54}{space 4}-.0354696{col 67}{space 3} .0405817
{txt}{space 6}polint {c |}{col 14}{res}{space 2} -.018906{col 26}{space 2} .0148222{col 37}{space 1}   -1.28{col 46}{space 3}0.202{col 54}{space 4}-.0479894{col 67}{space 3} .0101774
{txt}{space 7}unemp {c |}{col 14}{res}{space 2} .0271709{col 26}{space 2}  .018691{col 37}{space 1}    1.45{col 46}{space 3}0.146{col 54}{space 4}-.0095037{col 67}{space 3} .0638456
{txt}{space 9}edu {c |}{col 14}{res}{space 2}-.0167916{col 26}{space 2} .0047241{col 37}{space 1}   -3.55{col 46}{space 3}0.000{col 54}{space 4} -.026061{col 67}{space 3}-.0075222
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0479556{col 26}{space 2} .0648543{col 37}{space 1}    0.74{col 46}{space 3}0.460{col 54}{space 4}-.0792987{col 67}{space 3} .1752098
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins r.high, at(mcp=(1(0.2)7))
{res}
{txt}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,094}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1}}
{lalign 8:2._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.2}}
{lalign 8:3._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.4}}
{lalign 8:4._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.6}}
{lalign 8:5._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:1.8}}
{lalign 8:6._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2}}
{lalign 8:7._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.2}}
{lalign 8:8._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.4}}
{lalign 8:9._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.6}}
{lalign 8:10._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:2.8}}
{lalign 8:11._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3}}
{lalign 8:12._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.2}}
{lalign 8:13._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.4}}
{lalign 8:14._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.6}}
{lalign 8:15._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:3.8}}
{lalign 8:16._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4}}
{lalign 8:17._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.2}}
{lalign 8:18._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.4}}
{lalign 8:19._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.6}}
{lalign 8:20._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:4.8}}
{lalign 8:21._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5}}
{lalign 8:22._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.2}}
{lalign 8:23._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.4}}
{lalign 8:24._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.6}}
{lalign 8:25._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:5.8}}
{lalign 8:26._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6}}
{lalign 8:27._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.2}}
{lalign 8:28._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.4}}
{lalign 8:29._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.6}}
{lalign 8:30._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:6.8}}
{lalign 8:31._at: }{space 0}{lalign 3:mcp} = {res:{ralign 3:7}}

{res}{col 1}{text}{hline 13}{c TT}{hline 11}{hline 12}{hline 11}
{col 14}{text}{c |}         df{col 26}           F{col 38}        P>F
{res}{col 1}{text}{hline 13}{c +}{hline 11}{hline 12}{hline 11}
{space 4}high@_at {c |}
(1 vs 0)  1  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     5.63{col 38}{space 2}   0.0178
{txt}(1 vs 0)  2  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     5.75{col 38}{space 2}   0.0166
{txt}(1 vs 0)  3  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     5.87{col 38}{space 2}   0.0155
{txt}(1 vs 0)  4  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     5.99{col 38}{space 2}   0.0145
{txt}(1 vs 0)  5  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     6.11{col 38}{space 2}   0.0136
{txt}(1 vs 0)  6  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     6.21{col 38}{space 2}   0.0128
{txt}(1 vs 0)  7  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     6.30{col 38}{space 2}   0.0122
{txt}(1 vs 0)  8  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     6.35{col 38}{space 2}   0.0119
{txt}(1 vs 0)  9  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     6.35{col 38}{space 2}   0.0119
{txt}(1 vs 0) 10  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     6.28{col 38}{space 2}   0.0123
{txt}(1 vs 0) 11  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     6.11{col 38}{space 2}   0.0136
{txt}(1 vs 0) 12  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     5.81{col 38}{space 2}   0.0161
{txt}(1 vs 0) 13  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     5.37{col 38}{space 2}   0.0207
{txt}(1 vs 0) 14  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.78{col 38}{space 2}   0.0290
{txt}(1 vs 0) 15  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     4.07{col 38}{space 2}   0.0440
{txt}(1 vs 0) 16  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     3.29{col 38}{space 2}   0.0701
{txt}(1 vs 0) 17  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     2.51{col 38}{space 2}   0.1135
{txt}(1 vs 0) 18  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.80{col 38}{space 2}   0.1802
{txt}(1 vs 0) 19  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     1.20{col 38}{space 2}   0.2730
{txt}(1 vs 0) 20  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.74{col 38}{space 2}   0.3893
{txt}(1 vs 0) 21  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.41{col 38}{space 2}   0.5215
{txt}(1 vs 0) 22  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.19{col 38}{space 2}   0.6595
{txt}(1 vs 0) 23  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.07{col 38}{space 2}   0.7946
{txt}(1 vs 0) 24  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.01{col 38}{space 2}   0.9203
{txt}(1 vs 0) 25  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.00{col 38}{space 2}   0.9666
{txt}(1 vs 0) 26  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.03{col 38}{space 2}   0.8672
{txt}(1 vs 0) 27  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.08{col 38}{space 2}   0.7810
{txt}(1 vs 0) 28  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.14{col 38}{space 2}   0.7069
{txt}(1 vs 0) 29  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.21{col 38}{space 2}   0.6434
{txt}(1 vs 0) 30  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.29{col 38}{space 2}   0.5889
{txt}(1 vs 0) 31  {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     0.37{col 38}{space 2}   0.5421
{col 1}{text}      Joint {col 14}{c |}{result}{space 2}        2{col 26}{space 3}     3.18{col 38}{space 2}   0.0420
{col 14}{text}{c |}
{res}{col 1}{text} Denominator{col 14}{c |}{result}{space 2}     1084
{col 1}{text}{hline 13}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}   Contrast{col 26}   std. err.{col 38}     [95% con{col 51}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 4}high@_at {c |}
(1 vs 0)  1  {c |}{col 14}{res}{space 2} .0941772{col 26}{space 2} .0396734{col 37}{space 5} .0163319{col 51}{space 3} .1720224
{txt}(1 vs 0)  2  {c |}{col 14}{res}{space 2} .0902021{col 26}{space 2} .0376069{col 37}{space 5} .0164115{col 51}{space 3} .1639927
{txt}(1 vs 0)  3  {c |}{col 14}{res}{space 2}  .086227{col 26}{space 2} .0355791{col 37}{space 5} .0164154{col 51}{space 3} .1560387
{txt}(1 vs 0)  4  {c |}{col 14}{res}{space 2}  .082252{col 26}{space 2} .0335967{col 37}{space 5}   .01633{col 51}{space 3}  .148174
{txt}(1 vs 0)  5  {c |}{col 14}{res}{space 2} .0782769{col 26}{space 2} .0316685{col 37}{space 5} .0161385{col 51}{space 3} .1404154
{txt}(1 vs 0)  6  {c |}{col 14}{res}{space 2} .0743019{col 26}{space 2} .0298048{col 37}{space 5} .0158202{col 51}{space 3} .1327835
{txt}(1 vs 0)  7  {c |}{col 14}{res}{space 2} .0703268{col 26}{space 2} .0280186{col 37}{space 5} .0153499{col 51}{space 3} .1253037
{txt}(1 vs 0)  8  {c |}{col 14}{res}{space 2} .0663517{col 26}{space 2} .0263257{col 37}{space 5} .0146967{col 51}{space 3} .1180068
{txt}(1 vs 0)  9  {c |}{col 14}{res}{space 2} .0623767{col 26}{space 2} .0247451{col 37}{space 5} .0138229{col 51}{space 3} .1109305
{txt}(1 vs 0) 10  {c |}{col 14}{res}{space 2} .0584016{col 26}{space 2} .0232999{col 37}{space 5} .0126836{col 51}{space 3} .1041196
{txt}(1 vs 0) 11  {c |}{col 14}{res}{space 2} .0544265{col 26}{space 2} .0220165{col 37}{space 5} .0112267{col 51}{space 3} .0976264
{txt}(1 vs 0) 12  {c |}{col 14}{res}{space 2} .0504515{col 26}{space 2}  .020925{col 37}{space 5} .0093934{col 51}{space 3} .0915095
{txt}(1 vs 0) 13  {c |}{col 14}{res}{space 2} .0464764{col 26}{space 2} .0200565{col 37}{space 5} .0071225{col 51}{space 3} .0858303
{txt}(1 vs 0) 14  {c |}{col 14}{res}{space 2} .0425014{col 26}{space 2}  .019441{col 37}{space 5} .0043551{col 51}{space 3} .0806476
{txt}(1 vs 0) 15  {c |}{col 14}{res}{space 2} .0385263{col 26}{space 2}  .019103{col 37}{space 5} .0010432{col 51}{space 3} .0760094
{txt}(1 vs 0) 16  {c |}{col 14}{res}{space 2} .0345512{col 26}{space 2} .0190573{col 37}{space 5} -.002842{col 51}{space 3} .0719445
{txt}(1 vs 0) 17  {c |}{col 14}{res}{space 2} .0305762{col 26}{space 2} .0193058{col 37}{space 5}-.0073048{col 51}{space 3} .0684572
{txt}(1 vs 0) 18  {c |}{col 14}{res}{space 2} .0266011{col 26}{space 2} .0198377{col 37}{space 5}-.0123235{col 51}{space 3} .0655257
{txt}(1 vs 0) 19  {c |}{col 14}{res}{space 2} .0226261{col 26}{space 2} .0206309{col 37}{space 5}-.0178549{col 51}{space 3}  .063107
{txt}(1 vs 0) 20  {c |}{col 14}{res}{space 2}  .018651{col 26}{space 2} .0216568{col 37}{space 5}-.0238429{col 51}{space 3} .0611449
{txt}(1 vs 0) 21  {c |}{col 14}{res}{space 2} .0146759{col 26}{space 2}  .022884{col 37}{space 5}-.0302261{col 51}{space 3} .0595779
{txt}(1 vs 0) 22  {c |}{col 14}{res}{space 2} .0107009{col 26}{space 2} .0242822{col 37}{space 5}-.0369445{col 51}{space 3} .0583463
{txt}(1 vs 0) 23  {c |}{col 14}{res}{space 2} .0067258{col 26}{space 2} .0258235{col 37}{space 5}-.0439439{col 51}{space 3} .0573955
{txt}(1 vs 0) 24  {c |}{col 14}{res}{space 2} .0027507{col 26}{space 2} .0274839{col 37}{space 5}-.0511768{col 51}{space 3} .0566783
{txt}(1 vs 0) 25  {c |}{col 14}{res}{space 2}-.0012243{col 26}{space 2}  .029243{col 37}{space 5}-.0586037{col 51}{space 3}  .056155
{txt}(1 vs 0) 26  {c |}{col 14}{res}{space 2}-.0051994{col 26}{space 2} .0310842{col 37}{space 5}-.0661914{col 51}{space 3} .0557926
{txt}(1 vs 0) 27  {c |}{col 14}{res}{space 2}-.0091744{col 26}{space 2} .0329937{col 37}{space 5}-.0739132{col 51}{space 3} .0555643
{txt}(1 vs 0) 28  {c |}{col 14}{res}{space 2}-.0131495{col 26}{space 2} .0349603{col 37}{space 5} -.081747{col 51}{space 3}  .055448
{txt}(1 vs 0) 29  {c |}{col 14}{res}{space 2}-.0171246{col 26}{space 2} .0369749{col 37}{space 5} -.089675{col 51}{space 3} .0554259
{txt}(1 vs 0) 30  {c |}{col 14}{res}{space 2}-.0210996{col 26}{space 2}   .03903{col 37}{space 5}-.0976826{col 51}{space 3} .0554833
{txt}(1 vs 0) 31  {c |}{col 14}{res}{space 2}-.0250747{col 26}{space 2} .0411197{col 37}{space 5}-.1057578{col 51}{space 3} .0556084
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. marginsplot, level(95) recast(line) ciopt(color(%60)) recastci(rarea) xlabel(1(1)7) ///
>         xlabel(1(1)7) xscale(r(1 7)) title("") ///
>         xtitle("{c -(}it:Internal Motivation to Control Prejudice{c )-}") ///
>         ytitle(" {c -(}&Delta{c )-}Pr of {c -(}it:Vote Intention SD{c )-}" "(Contrasts between groups)") ///
>         ylabel(0(.1)0.4) graphregion(c(white)) ///
>         yline(0) scheme(s2mono) name(A9_2, replace) ///
>         addplot(hist mcp ,  bin(6) percent yaxis(2)  xlabel(1(1)7) fcolor(gray%20)  ///
>         ytitle("Percentage of Observations", axis(2))lcolor(black%30) leg(off)  /// 
>         yscale(alt axis(2))) ylabel(0(.1)0.4) xlabel(1(1)7) xscale(r(1 7)) ///
>         note("(A9.2)", position(11))
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mcp}{p_end}
{res}{txt}
{com}.         
. graph combine A9_1 A9_2,  col(2) xsize(11) ysize(4) ///
>         graphregion(margin(zero)) scale(2) name(A9, replace)
{res}{txt}
{com}. 
. graph save A9 "A7.gph", replace
{txt}{p 0 4 2}
(file {bf}
A7.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:A7.gph} saved

{com}. graph export fig12.tif, replace
{txt}{p 0 4 2}
(file {bf}
fig12.tif{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
fig12.tif{rm}
saved as
TIFF
format
{p_end}

{com}. graph close A9_1 A9_2   
{txt}
{com}. 
. graph close
{txt}
{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\kalle\Downloads\Untitled.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}11 May 2022, 10:03:04
{txt}{.-}
{smcl}
{txt}{sf}{ul off}